Triple
T2148025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulhacén |
E47112
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Granada |
E15680
|
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: Granada | Statement: [Mulhacén, nearbyCity, Granada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granada Context triple: [Mulhacén, nearbyCity, Granada]
-
A.
Granada
chosen
Granada is a historic city in southern Spain, renowned as the last stronghold of Muslim rule on the Iberian Peninsula and home to the famed Alhambra palace.
-
B.
Granada
Granada is a historic colonial city in western Nicaragua, known for its well-preserved Spanish architecture and location on the shores of Lake Nicaragua.
-
C.
Málaga
Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
-
D.
Córdoba
Córdoba is a major city in central Argentina known for its industrial base, universities, and strategic military presence.
-
E.
Almería
Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe271adc8190888c9086e9b8cc0c |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba4db388190baa1108563783227 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 4, 2026, 7:44 p.m.