Triple
T30719271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo Line phase 1 |
E782106
|
entity |
| Predicate | openedFullServiceToCulverCity |
P112075
|
FINISHED |
| Object | 2012-06-20 |
—
|
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: 2012-06-20 | Statement: [Expo Line phase 1, openedFullServiceToCulverCity, 2012-06-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedFullServiceToCulverCity Context triple: [Expo Line phase 1, openedFullServiceToCulverCity, 2012-06-20]
-
A.
openedForServiceTo
chosen
Indicates that one entity has been made available or activated to provide service or functionality to another entity.
-
B.
openedStore
Indicates that an entity has started operating a new store or retail location.
-
C.
openedCity
Indicates that an entity initiated operations or became active in a particular city.
-
D.
openedAsRestaurant
Indicates that an entity began operating or was first established in the capacity or function of a restaurant.
-
E.
openedFirstService
Indicates that one entity initiated or conducted the first instance of a particular service for another entity or in a given context.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 8:36 p.m.