Triple
T34687238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinitat Nova station |
E890784
|
entity |
| Predicate | hasStaffAreas |
P200866
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Trinitat Nova station, hasStaffAreas, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStaffAreas Context triple: [Trinitat Nova station, hasStaffAreas, yes]
-
A.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
hasAreaDirectors
Indicates that an entity is associated with one or more area directors responsible for overseeing specific regions or domains.
-
C.
hasLocalStaffFrom
Indicates that an organization or entity employs or is staffed by people originating from a specified local area or region.
-
D.
hasRoleArea
Indicates that an entity holds or is associated with a specific functional role within a defined area or domain.
-
E.
hasFreeAccessAreas
Indicates that an entity provides or includes areas that can be used or entered without cost or restrictions.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
| PDg | Predicate description generation | batch_69ffb5c2cef0819087a92a1a5ab694a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: May 1, 2026, 2:05 a.m.