Triple
T18582333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Gata |
E454144
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Jálama |
—
|
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: Jálama | Statement: [Sierra de Gata, hasHighestPoint, Jálama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jálama Context triple: [Sierra de Gata, hasHighestPoint, Jálama]
-
A.
Jálama
chosen
Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
-
B.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
C.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
D.
Jaramana
Jaramana is a densely populated suburban city near Damascus in southwestern Syria, known for its diverse population and large communities of internally displaced people and refugees.
-
E.
Ja'loja
Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d10b1c8190a401df810b7290c9 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.