Triple
T4325200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python standard library |
E96619
|
entity |
| Predicate | includesModule |
P49317
|
FINISHED |
| Object |
typing
typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
|
E431925
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: typing | Statement: [Python standard library, includesModule, typing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: typing Context triple: [Python standard library, includesModule, typing]
-
A.
YPED
YPED is the ICAO airport code for RAAF Base Edinburgh, a major Royal Australian Air Force base located near Adelaide, South Australia.
-
B.
typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
-
C.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
Words
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
E.
WPM
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: typing Triple: [Python standard library, includesModule, typing]
Generated description
typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: typing Target entity description: typing is a Python standard library module that provides support for type hints and static type checking through a rich set of type annotation primitives.
-
A.
YPED
YPED is the ICAO airport code for RAAF Base Edinburgh, a major Royal Australian Air Force base located near Adelaide, South Australia.
-
B.
typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), the author of FastAPI.
-
C.
Typer
Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
-
D.
Words
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
E.
WPM
WPM is the abbreviation commonly used for the World Plenary Meeting, a global gathering focused on collective decision-making and discussion.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d094f5fc819083eddc234f46f6a1 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d10a20248190b3214509cb637ff4 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d4f08ac4819097e71276be11403d |
completed | March 14, 2026, 9:36 p.m. |
Created at: March 12, 2026, 11:13 p.m.