Triple
T3608720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region |
E76433
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Fundão
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
|
E374149
|
NE FINISHED |
How this triple was built (4 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: Fundão | Statement: [Centro Region, containsCity, Fundão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fundão Context triple: [Centro Region, containsCity, Fundão]
-
A.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
B.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
C.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
D.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
E.
Monte Brasil
Monte Brasil is a prominent volcanic peninsula and natural reserve on Terceira Island in the Azores, known for its scenic trails, historical fortifications, and panoramic views over Angra do Heroísmo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fundão Triple: [Centro Region, containsCity, Fundão]
Generated description
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fundão Target entity description: Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
-
A.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
B.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
C.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
D.
Pirassununga
Pirassununga is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and as a site of a major University of São Paulo campus.
-
E.
Monte Brasil
Monte Brasil is a prominent volcanic peninsula and natural reserve on Terceira Island in the Azores, known for its scenic trails, historical fortifications, and panoramic views over Angra do Heroísmo.
- F. None of above. chosen
Provenance (5 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22a3cf081908c20b6fb55be0db2 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4330de7a08190933aa7e9dc0a65be |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b437cf839881909b1d505328285123 |
completed | March 13, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43835994c81909230bbb21b12b8ef |
completed | March 13, 2026, 4:15 p.m. |
Created at: March 8, 2026, 3:22 p.m.