Triple
T30612927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newbury Park tube station |
E779230
|
entity |
| Predicate | openedAsTubeStation |
P182256
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Newbury Park tube station, openedAsTubeStation, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsTubeStation Context triple: [Newbury Park tube station, openedAsTubeStation, 1947]
-
A.
firstTubeOpened
Indicates that the first tube in a sequence or system has been opened or activated.
-
B.
thirdTubeOpened
Indicates that the third tube in a set or sequence has been opened.
-
C.
hasTube
Indicates that one entity possesses, includes, or is equipped with a tube as a component or feature.
-
D.
openedAsCTAStation
Indicates that an entity began operation specifically as a Chicago Transit Authority (CTA) station at the time it opened.
-
E.
openedAsNameForStation
Indicates that a station was originally opened under a particular name.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 29, 2026, 8:26 p.m.