Triple
T22606742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuenca province |
E566580
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | San Clemente |
—
|
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: San Clemente | Statement: [Cuenca province, hasTown, San Clemente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Clemente Context triple: [Cuenca province, hasTown, San Clemente]
-
A.
San Clemente
San Clemente is a small, rural municipality in the province of Tarlac in the Philippines, known for its agricultural landscape and quiet provincial character.
-
B.
San Clemente
San Clemente is a small Italian municipality in the Emilia-Romagna region, known for its historic hilltop setting and proximity to the Adriatic coast.
-
C.
San Clemente
chosen
San Clemente is a small municipality located in the Province of Cuenca in the autonomous community of Castilla-La Mancha, central Spain.
-
D.
San Clemente
San Clemente is a coastal city in southern Orange County, California, known for its Spanish Colonial-style architecture, scenic beaches, and popular surf spots.
-
E.
San Clemente
San Clemente is a Chilean municipality and town located in the Maule Region, known for its agricultural activities and proximity to the Andes.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.