Triple
T23367620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cala Trebalúger |
E593367
|
entity |
| Predicate | isUnspoiled |
P152447
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cala Trebalúger, isUnspoiled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnspoiled Context triple: [Cala Trebalúger, isUnspoiled, true]
-
A.
isRevealedTo
Indicates that previously hidden or unknown information becomes known to a specific entity or group.
-
B.
revealedBefore
Indicates that one entity becomes known, disclosed, or made apparent earlier in time than another entity.
-
C.
takenAsSpoilBy
Indicates that one entity has been seized or appropriated as spoils (e.g., of war, conquest, or plunder) by another entity.
-
D.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
E.
isStoried
Indicates that something has a rich history, reputation, or legacy built up over time, often marked by notable events or traditions.
- F. None of above. chosen
Provenance (4 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:32 p.m.