Triple
T15568386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamusca |
E374174
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Coruche
Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
|
E1220209
|
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: Coruche | Statement: [Chamusca, hasBorderWith, Coruche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coruche Context triple: [Chamusca, hasBorderWith, Coruche]
-
A.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
B.
Arouca
Arouca is a town in Trinidad and Tobago’s Northern Range region, known as a residential community with access to major transport routes and nearby natural attractions.
-
C.
Arouca
Arouca is a professional football club based in Arouca, Portugal, that competes in the Portuguese football league system.
-
D.
Carcavelos
Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
-
E.
Lamego
Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
- 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: Coruche Triple: [Chamusca, hasBorderWith, Coruche]
Generated description
Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coruche Target entity description: Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
-
A.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
B.
Arouca
Arouca is a town in Trinidad and Tobago’s Northern Range region, known as a residential community with access to major transport routes and nearby natural attractions.
-
C.
Arouca
Arouca is a professional football club based in Arouca, Portugal, that competes in the Portuguese football league system.
-
D.
Carcavelos
Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
-
E.
Lamego
Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067948b308190a434cdf1d45ebef4 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00686f87408190b7d8a41cd54735d8 |
completed | May 10, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006b6edd7081908730363b267253dd |
completed | May 10, 2026, 11:26 a.m. |
Created at: April 10, 2026, 4:10 a.m.