Triple
T785579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G train |
E16593
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Church Avenue
Church Avenue is a New York City Subway station in Brooklyn that serves as the southern terminal for the G train.
|
E194242
|
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: Church Avenue | Statement: [G train, terminus, Church Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Church Avenue Context triple: [G train, terminus, Church Avenue]
-
A.
Chester Avenue
Chester Avenue is a major street in Philadelphia that serves as part of the surface-running route for SEPTA’s Subway–Surface trolley lines.
-
B.
Worth Avenue
Worth Avenue is an upscale, historic shopping street in Palm Beach, Florida, renowned for its luxury boutiques, galleries, and Mediterranean-inspired architecture.
-
C.
Grant Avenue
Grant Avenue is a historic thoroughfare in San Francisco best known as the main tourist and commercial street running through Chinatown.
-
D.
Lancaster Avenue
Lancaster Avenue is a major thoroughfare in Philadelphia that serves as a key commercial and transit corridor through the University City area and beyond.
-
E.
Porter Avenue
Porter Avenue is a historic, Olmsted-designed boulevard in Buffalo, New York, that forms part of the city’s landmark park and parkway system.
- 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: Church Avenue Triple: [G train, terminus, Church Avenue]
Generated description
Church Avenue is a New York City Subway station in Brooklyn that serves as the southern terminal for the G train.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Church Avenue Target entity description: Church Avenue is a New York City Subway station in Brooklyn that serves as the southern terminal for the G train.
-
A.
Chester Avenue
Chester Avenue is a major street in Philadelphia that serves as part of the surface-running route for SEPTA’s Subway–Surface trolley lines.
-
B.
Worth Avenue
Worth Avenue is an upscale, historic shopping street in Palm Beach, Florida, renowned for its luxury boutiques, galleries, and Mediterranean-inspired architecture.
-
C.
Grant Avenue
Grant Avenue is a historic thoroughfare in San Francisco best known as the main tourist and commercial street running through Chinatown.
-
D.
Lancaster Avenue
Lancaster Avenue is a major thoroughfare in Philadelphia that serves as a key commercial and transit corridor through the University City area and beyond.
-
E.
Porter Avenue
Porter Avenue is a historic, Olmsted-designed boulevard in Buffalo, New York, that forms part of the city’s landmark park and parkway system.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a76b0d6c8190a09b1a0bd4a6eeec |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8a8f35d48190a18cf924bf5f9e45 |
completed | March 8, 2026, 2:41 p.m. |
| NEDg | Description generation | batch_69ad95738df081909e56178cc1e0ab74 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97a1a44c8190a9d8fe05837ec9ff |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 1, 2026, 7:38 p.m.