Triple
T23028773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cala Santanyí |
E573397
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Santanyí |
—
|
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: Santanyí | Statement: [Cala Santanyí, hasNearbyTown, Santanyí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santanyí Context triple: [Cala Santanyí, hasNearbyTown, Santanyí]
-
A.
Santanyí
chosen
Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
-
B.
Taytay
Taytay is a municipality in the province of Rizal in the Philippines, known as a rapidly urbanizing suburban area just east of Metro Manila.
-
C.
Taytay
Taytay is a historic coastal municipality in the province of Palawan in the Philippines, known for its Spanish-era fort and scenic island-dotted bay.
-
D.
Santhià
Santhià is a town in the Piedmont region of northwestern Italy, known historically as the place where Duke Francesco I d'Este died.
-
E.
Vallmoll
Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847f453881909a8f2affb48c64f1 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.