Triple
T18582287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val de Xálima |
E454143
|
entity |
| Predicate | nearbyMountain |
P10602
|
FINISHED |
| Object |
Jálama
Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
|
E1331850
|
NE FINISHED |
How this triple was built (4 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: [Val de Xálima, nearbyMountain, Jálama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jálama Context triple: [Val de Xálima, nearbyMountain, Jálama]
-
A.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
B.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
C.
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.
-
D.
Ja'loja
Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
-
E.
Chamalal
Chamalal is a Northeast Caucasian language spoken by the Chamalal people in the western part of Dagestan, Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jálama Triple: [Val de Xálima, nearbyMountain, Jálama]
Generated description
Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jálama Target entity description: Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
-
A.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
B.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
C.
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.
-
D.
Ja'loja
Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
-
E.
Chamalal
Chamalal is a Northeast Caucasian language spoken by the Chamalal people in the western part of Dagestan, Russia.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f88f6870819085ebffc7c77e483f |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9fc493881909ba9159748d4f3fb |
completed | May 13, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fad8daa88190961d643d30a52aa7 |
completed | May 13, 2026, 10:27 p.m. |
Created at: April 10, 2026, 11:44 a.m.