Triple
T11968476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo de Belchite comarca |
E284852
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Belchite |
E405328
|
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: Belchite | Statement: [Campo de Belchite comarca, contains, Belchite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belchite Context triple: [Campo de Belchite comarca, contains, Belchite]
-
A.
Belchite
chosen
Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
-
B.
Ubaque
Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
-
C.
Caleruega
Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
-
D.
Acesines
Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
-
E.
Arganzuela
Arganzuela is a central district of Madrid, Spain, known for its extensive redevelopment along the Manzanares River and its mix of residential areas, cultural venues, and green spaces.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5b024c81909e4ccfd7dec7edb3 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:46 p.m.