Triple
T11879569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refugio de la Renclusa |
E282620
|
entity |
| Predicate | primaryAccessPeak |
P54399
|
FINISHED |
| Object | Maladeta |
E951949
|
NE 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: Maladeta | Statement: [Refugio de la Renclusa, primaryAccessPeak, Maladeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maladeta Context triple: [Refugio de la Renclusa, primaryAccessPeak, Maladeta]
-
A.
Maladeta
chosen
Maladeta is a prominent peak in the central Pyrenees of Spain, known for its glaciated massif and proximity to Aneto, the highest mountain in the range.
-
B.
Malad
Malad is a suburban neighborhood in the northern part of Mumbai, India, known for its residential complexes, shopping malls, and commercial development.
-
C.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
-
D.
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
E.
Madadeni
Madadeni is a township in KwaZulu-Natal, South Africa, situated near Newcastle and known as a large residential and industrial area in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43fd661f481909b1f7609540e42d7 |
completed | May 1, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.