Triple
T1466727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Lots Line |
E27040
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object | IRT |
E63229
|
NE 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: IRT | Statement: [New Lots Line, division, IRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRT Context triple: [New Lots Line, division, IRT]
-
A.
IRT
chosen
IRT is a major division of the New York City Subway system that operates the numbered (1–7) train lines, originally built by the Interborough Rapid Transit Company.
-
B.
IER
IER is a division of the U.S. Department of Justice that enforces federal laws protecting immigrants and other workers from employment discrimination based on citizenship or immigration status and national origin.
-
C.
IST
IST is the time zone used across India, corresponding to UTC+5:30 and commonly referred to as Indian Standard Time.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
RI
RI is the standard two-letter United States Postal Service abbreviation for the state of Rhode Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5bcfa0881909d6137c69825bc7a |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7e7f848190a8abcb73e89e8e34 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8:01 p.m.