Triple
T38193218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Subway |
E1005532
|
entity |
| Predicate | constructionResumptionDecade |
P196734
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Second Avenue Subway, constructionResumptionDecade, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionResumptionDecade Context triple: [Second Avenue Subway, constructionResumptionDecade, 2000s]
-
A.
redevelopedInDecade
Indicates that an entity was redeveloped during a specified decade.
-
B.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
C.
restoredInDecade
Indicates that an entity was restored or brought back to a prior or improved condition during a specified decade.
-
D.
constructionResumptionYear
Indicates the year in which a previously halted or paused construction activity was resumed.
-
E.
furtherDevelopedInDecade
Indicates that something underwent additional development, advancement, or refinement during a specified decade.
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: May 3, 2026, 4:29 p.m.