Triple
T6676647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breda |
E151867
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Huelva |
E66226
|
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: Huelva | Statement: [Breda, twinCity, Huelva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huelva Context triple: [Breda, twinCity, Huelva]
-
A.
Huelva
chosen
Huelva is a coastal city and province in southwestern Spain known for its Andalusian culture, Atlantic beaches, and historical ties to Christopher Columbus’s voyages.
-
B.
Jerez de la Frontera
Jerez de la Frontera is a historic city in southwestern Spain renowned for its sherry wine production, flamenco heritage, and equestrian traditions.
-
C.
Murcia
Murcia is a historic city and region in southeastern Spain, known for its fertile agricultural plain, baroque architecture, and role as a former frontier territory between Christian and Muslim realms on the Iberian Peninsula.
-
D.
Jaén
Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
-
E.
Jaén
Jaén is a significant commercial and agricultural city in northern Peru, known as a regional hub within the Cajamarca Region.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f4184481908869354addf4f8c4 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769ddf9e08190b64216fa37d6ca19 |
completed | March 28, 2026, 5:40 a.m. |
Created at: March 27, 2026, 2:03 p.m.