Triple
T11903444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristóbal Balenciaga |
E283214
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Xàbia |
E945212
|
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: Xàbia | Statement: [Cristóbal Balenciaga, deathPlace, Xàbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xàbia Context triple: [Cristóbal Balenciaga, deathPlace, Xàbia]
-
A.
Alcúdia
Alcúdia is a historic coastal town in northern Mallorca, Spain, known for its well-preserved medieval walls, charming old town, and nearby sandy beaches.
-
B.
Javea
chosen
Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
-
C.
Deià
Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
-
D.
Denia
Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
-
E.
Pollença
Pollença is a historic town in northern Mallorca, Spain, known for its charming stone streets, traditional architecture, and proximity to scenic coastal and mountain landscapes.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44004b454819091b41bac99895106 |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:44 p.m.