Triple
T19601185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenton station |
E470478
|
entity |
| Predicate | openedOnUnderground |
P60932
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [Kenton station, openedOnUnderground, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedOnUnderground Context triple: [Kenton station, openedOnUnderground, 1917]
-
A.
openedAsUndergroundStation
chosen
Indicates that an entity began operation specifically as an underground railway/metro station at the time it was opened.
-
B.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
C.
openedAsNYCSubwayStation
Indicates that an entity began operation specifically as a New York City Subway station at the time it opened.
-
D.
operatedUnderground
Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
-
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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407f1fd88190aa82c4c96f755584 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.