Triple
T24958317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sa Dragonera |
E624535
|
entity |
| Predicate | hasRuggedCliffs |
P12975
|
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: [Sa Dragonera, hasRuggedCliffs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuggedCliffs Context triple: [Sa Dragonera, hasRuggedCliffs, true]
-
A.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
-
B.
hasCliffs
chosen
Indicates that something possesses or is characterized by the presence of cliffs.
-
C.
hasCliff
Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
-
D.
hasRockyTerrain
Indicates that the subject possesses or is characterized by rough, uneven, or rock-covered ground or surface conditions.
-
E.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:58 a.m.