Triple
T22364167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teixeira |
E552856
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Texeira
Texeira is a surname, most commonly of Portuguese origin, that serves as a variant spelling of Teixeira.
|
E1532217
|
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: Texeira | Statement: [Teixeira, hasVariantSpelling, Texeira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texeira Context triple: [Teixeira, hasVariantSpelling, Texeira]
-
A.
Espinhal
Espinhal is a civil parish located in the municipality of Penela in central Portugal, known for its rural landscape and traditional Portuguese village character.
-
B.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
C.
Tanguá
Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
-
D.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
E.
Tijara
Tijara is a town in the Alwar district of Rajasthan, India, known for its historical fort and religious significance as a Jain pilgrimage site.
- 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: Texeira Triple: [Teixeira, hasVariantSpelling, Texeira]
Generated description
Texeira is a surname, most commonly of Portuguese origin, that serves as a variant spelling of Teixeira.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Texeira Target entity description: Texeira is a surname, most commonly of Portuguese origin, that serves as a variant spelling of Teixeira.
-
A.
Espinhal
Espinhal is a civil parish located in the municipality of Penela in central Portugal, known for its rural landscape and traditional Portuguese village character.
-
B.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
C.
Tanguá
Tanguá is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and integration into the greater Rio de Janeiro metropolitan area.
-
D.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
E.
Tijara
Tijara is a town in the Alwar district of Rajasthan, India, known for its historical fort and religious significance as a Jain pilgrimage site.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d616748190921bd49039b7f6fc |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae0640e0c819085a8d3a82fb45e21 |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae16a8bcc8190852dd17f9c780123 |
completed | May 18, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae1e16fac8190b0b56d00a87d173f |
completed | May 18, 2026, 9:54 a.m. |
Created at: April 16, 2026, 8:44 p.m.