Triple
T15491009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veiros (Estremoz) |
E378683
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Veiros
Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
|
E1160243
|
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: Veiros | Statement: [Veiros (Estremoz), hasNameInLanguage, Veiros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veiros Context triple: [Veiros (Estremoz), hasNameInLanguage, Veiros]
-
A.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
-
B.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
D.
Vegueta
Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
-
E.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
- 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: Veiros Triple: [Veiros (Estremoz), hasNameInLanguage, Veiros]
Generated description
Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veiros Target entity description: Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
-
A.
Vinhais
Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
-
B.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
D.
Vegueta
Vegueta is the historic old quarter of Las Palmas de Gran Canaria, known for its colonial architecture, cobbled streets, and cultural landmarks.
-
E.
Serpa
Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff375856448190a61979dfff751f06 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3830f0148190846bd24db1e0d754 |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:48 a.m.