Triple
T27109857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galindez Island |
E686680
|
entity |
| Predicate | formerOperatorOfStation |
P15084
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Galindez Island, formerOperatorOfStation, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerOperatorOfStation Context triple: [Galindez Island, formerOperatorOfStation, United Kingdom]
-
A.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
B.
associatedWithOperatorOfStationIdentified
Indicates a relationship where something is linked to the operator of a specific station that has been identified.
-
C.
formerOperates
Indicates that an entity previously operated or managed another entity but no longer does so.
-
D.
formerStationNameFor
Indicates that one station name was previously used as the official name for another station.
-
E.
formerlyOperatedBy
chosen
Indicates that an entity was previously operated or managed by another entity, but is no longer under that operation.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 27, 2026, 8:53 a.m.