Triple
T3940596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrystie Street Connection |
E92023
|
entity |
| Predicate | openedForServiceDecade |
P50516
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Chrystie Street Connection, openedForServiceDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForServiceDecade Context triple: [Chrystie Street Connection, openedForServiceDecade, 1960s]
-
A.
openedInDecade
Indicates that an entity began operating or was officially opened during a specified decade.
-
B.
operatedInDecade
Indicates that an entity carried out its operations or activities during a specified decade.
-
C.
openedInCentury
Indicates that an entity (such as a building, institution, or facility) began operating or was first opened during a specified century.
-
D.
commissioningDecade
chosen
Indicates the decade during which an entity was formally commissioned or put into official service.
-
E.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
- F. None of above.
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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfc88e4819084adefb695b975c5 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.