Triple
T20858484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biorka Island |
E513546
|
entity |
| Predicate | hasFormerFacilityType |
P136847
|
FINISHED |
| Object | LORAN-C station |
—
|
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: LORAN-C station | Statement: [Biorka Island, hasFormerFacilityType, LORAN-C station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerFacilityType Context triple: [Biorka Island, hasFormerFacilityType, LORAN-C station]
-
A.
hasFormerVenueType
chosen
Indicates that an entity previously had a specific type of venue, but that venue type is no longer current.
-
B.
legacyFacilityOf
Indicates that one facility is an older, predecessor, or superseded version of another facility within the same organizational or operational context.
-
C.
formerHomeFacility
Indicates that an entity was previously housed, based, or operated in a particular facility but no longer is.
-
D.
hasFormerBuilding
Indicates that an entity previously occupied or used a different building, which is identified as its former building.
-
E.
hasFormerStation
Indicates that an entity previously had a particular station (e.g., a stop, depot, or facility) that is no longer in active use or part of its current infrastructure.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a9fd7881908ae4c5c63f64efc0 |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.