Triple
T26495485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hisingen |
E669270
|
entity |
| Predicate | hasShipyardHistory |
P4334
|
FINISHED |
| Object | Götaverken shipyard |
—
|
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: Götaverken shipyard | Statement: [Hisingen, hasShipyardHistory, Götaverken shipyard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShipyardHistory Context triple: [Hisingen, hasShipyardHistory, Götaverken shipyard]
-
A.
shipyardFormerName
Indicates that a shipyard previously operated under a different name, specifying what that former name was.
-
B.
hasShipyardType
Indicates the specific category or classification of shipyard associated with an entity.
-
C.
hasHistoricVesselsFrom
Indicates that an entity possesses or includes historic vessels that originate from a specified place or source.
-
D.
shipyardLocatedOn
Indicates that a shipyard is situated on or within the geographic area of a specified landmass, coastline, or body of water.
-
E.
shipyard
chosen
Indicates a relationship where a location functions as a facility for building, repairing, or maintaining ships.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 1:08 a.m.