Triple
T6487883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felanitx |
E146559
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Felanitx (town) |
E146559
|
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: Felanitx (town) | Statement: [Felanitx, capital, Felanitx (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felanitx (town) Context triple: [Felanitx, capital, Felanitx (town)]
-
A.
Felanitx
chosen
Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
-
B.
Florac
Florac is a small historic town in southern France that serves as a gateway to the Cévennes National Park and the surrounding mountainous countryside.
-
C.
Villanueva
Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
-
D.
Villanueva
Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
-
E.
Florenc
Florenc is a major interchange station on the Prague Metro, serving as a key hub connecting multiple lines and the nearby central bus terminal.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a96a4048190a28dee5fd9258486 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b792f48190b301cdc643db8ddf |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:52 p.m.