Triple
T18940451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q (New York City Subway service) |
E463365
|
entity |
| Predicate | gainedSecondAvenueExtension |
P133885
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Q (New York City Subway service), gainedSecondAvenueExtension, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedSecondAvenueExtension Context triple: [Q (New York City Subway service), gainedSecondAvenueExtension, 2017]
-
A.
reached96thStreetSecondAvenue
Indicates that an entity has arrived at or attained the location identified as 96th Street and Second Avenue.
-
B.
hasSecondaryStreet
Indicates that an entity is associated with an additional, non-primary street address or roadway.
-
C.
lightRailExpansion
Indicates the process or plan of extending an existing light rail transit system to cover additional areas or routes.
-
D.
secondMetropolitan
Indicates that one entity is the second metropolitan (e.g., second-ranking or second-designated metropolitan authority or see) in relation to another entity.
-
E.
secondSpanOpenedToTraffic
Indicates that a second span or section of a structure (such as a bridge) has been completed and officially made available for use by traffic.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.