Triple
T29847304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illes Pitiüses |
E757963
|
entity |
| Predicate | mainTownsIsland |
P165856
|
FINISHED |
| Object | Ibiza |
—
|
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: Ibiza | Statement: [Illes Pitiüses, mainTownsIsland, Ibiza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTownsIsland Context triple: [Illes Pitiüses, mainTownsIsland, Ibiza]
-
A.
hasMainHarbourOnIsland
Indicates that the primary harbour of a place or region is located on a specific island.
-
B.
isMainIsland
Indicates that an island is the primary or most significant island within a group, region, or country.
-
C.
mainTownOn
chosen
Indicates that one town is the primary or principal town located on or associated with a particular geographic feature, route, or area.
-
D.
majorCityOnIsland
Indicates that the city is a primary or significant urban center located on the specified island.
-
E.
largestSettlementOnIsland
Indicates that a settlement is the largest (typically by population or area) among all settlements located on a given island.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 29, 2026, 5:42 p.m.