Triple
T27109856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galindez Island |
E686680
|
entity |
| Predicate | operatorOfStation |
P42386
|
FINISHED |
| Object | Ukraine |
—
|
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: Ukraine | Statement: [Galindez Island, operatorOfStation, Ukraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorOfStation Context triple: [Galindez Island, operatorOfStation, Ukraine]
-
A.
operatedStation
chosen
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
-
B.
operatorOfNearbyStation
Indicates that an entity operates or manages a station located in close geographic proximity to another referenced entity.
-
C.
trainOperator
Indicates that one entity operates, manages, or runs train services for another entity or within a specific rail system.
-
D.
associatedWithOperatorOfStationIdentified
Indicates a relationship where something is linked to the operator of a specific station that has been identified.
-
E.
operatedStationsIn
Indicates that an entity managed or ran the operations of one or more stations within a specified area or system.
- 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_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 27, 2026, 8:53 a.m.