Triple
T7894805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Component Object Model |
E183318
|
entity |
| Predicate | usesIdentifier |
P1285
|
FINISHED |
| Object |
LIBID
LIBID is a globally unique identifier (GUID) used in Microsoft's Component Object Model to identify type libraries.
|
E701325
|
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: LIBID | Statement: [Component Object Model, usesIdentifier, LIBID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIBID Context triple: [Component Object Model, usesIdentifier, LIBID]
-
A.
LIBD
LIBD is the ICAO airport code for Bari Karol Wojtyła Airport, the main international airport serving the city of Bari in southern Italy.
-
B.
LIBE
LIBE is the European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, responsible for issues such as fundamental rights, data protection, migration, and internal security within the EU.
-
C.
LIBP
LIBP is the ICAO airport code for Abruzzo Airport, a regional international airport serving the city of Pescara in central Italy.
-
D.
LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
-
E.
Liber
Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
- 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: LIBID Triple: [Component Object Model, usesIdentifier, LIBID]
Generated description
LIBID is a globally unique identifier (GUID) used in Microsoft's Component Object Model to identify type libraries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIBID Target entity description: LIBID is a globally unique identifier (GUID) used in Microsoft's Component Object Model to identify type libraries.
-
A.
LIBD
LIBD is the ICAO airport code for Bari Karol Wojtyła Airport, the main international airport serving the city of Bari in southern Italy.
-
B.
LIBE
LIBE is the European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, responsible for issues such as fundamental rights, data protection, migration, and internal security within the EU.
-
C.
LIBP
LIBP is the ICAO airport code for Abruzzo Airport, a regional international airport serving the city of Pescara in central Italy.
-
D.
LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
-
E.
Liber
Liber is an ancient Roman god associated with viticulture, fertility, and freedom, often identified with the Greek god Dionysus.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a15a7e88190a05474844817e5d2 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bae4bdc8190be7db2ba3acb708a |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7631d10881908e3c7dacb98520cd |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf847f3c819092d690d8d65f6d60 |
completed | March 31, 2026, 12:35 p.m. |
Created at: March 30, 2026, 5:01 p.m.