Triple
T6256324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark/Lake station |
E140174
|
entity |
| Predicate | openedAsSubwayStation |
P60932
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Clark/Lake station, openedAsSubwayStation, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsSubwayStation Context triple: [Clark/Lake station, openedAsSubwayStation, 1951]
-
A.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
B.
openedAsUndergroundStation
chosen
Indicates that an entity began operation specifically as an underground railway/metro station at the time it was opened.
-
C.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
D.
openedAsRERStation
Indicates that a station began operation specifically as part of the RER (Réseau Express Régional) network from its opening date.
-
E.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063653910819095f1dc3b90ce77db |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.