Triple
T22638203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinca |
E558738
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Monzón |
—
|
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: Monzón | Statement: [Cinca, flowsThrough, Monzón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monzón Context triple: [Cinca, flowsThrough, Monzón]
-
A.
Monzón
chosen
Monzón is a historic town in the province of Huesca, Aragon, Spain, known for its medieval castle and role in the Crown of Aragon.
-
B.
Monzón
Monzón is a town in Peru’s Huamalíes Province, within the Huánuco region, known for its location in the Andean highlands.
-
C.
Palos de Moguer
Palos de Moguer is a residential and commercial neighborhood in Madrid, Spain, known for its central location and urban character within the Arganzuela district.
-
D.
Conil de la Frontera
Conil de la Frontera is a traditional Andalusian coastal town in southern Spain known for its long sandy beaches, whitewashed houses, and relaxed seaside atmosphere.
-
E.
Mazarrón
Mazarrón is a coastal town and popular tourist destination in Spain’s Region of Murcia, known for its beaches, marina, and archaeological heritage.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.