Triple
T14407520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronda Rousey |
E357237
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ronda |
E217795
|
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: Ronda | Statement: [Ronda Rousey, givenName, Ronda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronda Context triple: [Ronda Rousey, givenName, Ronda]
-
A.
Ronda
chosen
Ronda is a historic mountaintop city in Spain’s Málaga province, famed for its dramatic gorge-spanning bridges, whitewashed old town, and deep cultural ties to bullfighting and Spanish military tradition.
-
B.
Ronda
Ronda is a coastal municipality in the province of Cebu in the Philippines, known for its rural communities and agricultural landscape.
-
C.
Nerja
Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
-
D.
Aracena
Aracena is a historic town in southwestern Spain renowned for its medieval castle and the Gruta de las Maravillas cave system.
-
E.
Vacqueyras
Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c7a068819081b4b516983a1412 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5524e26c81909424b5ba88b5f330 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.