Triple
T15567577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourém |
E374155
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Caxarias
Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
|
E1166605
|
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: Caxarias | Statement: [Ourém, contains, Caxarias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caxarias Context triple: [Ourém, contains, Caxarias]
-
A.
Caxito
Caxito is a town in northwestern Angola that serves as the administrative and economic center of Bengo Province.
-
B.
Cayastá
Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
-
C.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Tuyuca
Tuyuca is an indigenous Eastern Tucanoan language spoken primarily in the Amazon region of Colombia and Brazil, noted for its complex verb morphology and extensive evidentiality system.
- 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: Caxarias Triple: [Ourém, contains, Caxarias]
Generated description
Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caxarias Target entity description: Caxarias is a civil parish and locality within the municipality of Ourém in central Portugal.
-
A.
Caxito
Caxito is a town in northwestern Angola that serves as the administrative and economic center of Bengo Province.
-
B.
Cayastá
Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
-
C.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
-
D.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
E.
Tuyuca
Tuyuca is an indigenous Eastern Tucanoan language spoken primarily in the Amazon region of Colombia and Brazil, noted for its complex verb morphology and extensive evidentiality system.
- 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_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58334f688190907e331755156c8a |
completed | May 9, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff588814808190a7e593a5ae80f816 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:10 a.m.