Triple
T4542995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D (IND Sixth Avenue Line) |
E109979
|
entity |
| Predicate | hasServiceSymbolShape |
P57606
|
FINISHED |
| Object | circle |
—
|
LITERAL FINISHED |
How this triple was built (2 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: circle | Statement: [D (IND Sixth Avenue Line), hasServiceSymbolShape, circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceSymbolShape Context triple: [D (IND Sixth Avenue Line), hasServiceSymbolShape, circle]
-
A.
hasServiceStructure
Indicates that one entity provides, contains, or is associated with a particular service-related structure or organizational framework for delivering a service.
-
B.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
C.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
D.
hasServiceClass
Indicates that an entity is associated with, or categorized under, a particular class or type of service.
-
E.
hasTerminalShape
Indicates that one entity possesses or exhibits a particular terminal (end) shape defined by another entity.
- F. None of above. chosen
Provenance (4 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d3be988190bf118c4a87415613 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.