Triple
T15604454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinas |
E375119
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object |
Galo de Barcelos
Galo de Barcelos is a traditional Portuguese rooster figure, widely recognized as a national symbol of good luck and the city of Barcelos.
|
E1166845
|
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: Galo de Barcelos | Statement: [Kinas, inspiredBy, Galo de Barcelos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galo de Barcelos Context triple: [Kinas, inspiredBy, Galo de Barcelos]
-
A.
Goncalar
Goncalar is a neighborhood located within the district of Karşıyaka in Turkey.
-
B.
Alvalade
Alvalade is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and historical ties to the Alentejo region.
-
C.
Bragança
Bragança is a historic city in northeastern Portugal known for its well-preserved medieval castle and role as the former seat of the House of Braganza.
-
D.
Arraiolos
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
E.
Carballo
Carballo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its proximity to the Atlantic coast and its role as a local commercial and administrative center.
- 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: Galo de Barcelos Triple: [Kinas, inspiredBy, Galo de Barcelos]
Generated description
Galo de Barcelos is a traditional Portuguese rooster figure, widely recognized as a national symbol of good luck and the city of Barcelos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galo de Barcelos Target entity description: Galo de Barcelos is a traditional Portuguese rooster figure, widely recognized as a national symbol of good luck and the city of Barcelos.
-
A.
Goncalar
Goncalar is a neighborhood located within the district of Karşıyaka in Turkey.
-
B.
Alvalade
Alvalade is a civil parish in the municipality of Santiago do Cacém in Portugal, known for its rural character and historical ties to the Alentejo region.
-
C.
Bragança
Bragança is a historic city in northeastern Portugal known for its well-preserved medieval castle and role as the former seat of the House of Braganza.
-
D.
Arraiolos
Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
-
E.
Carballo
Carballo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its proximity to the Atlantic coast and its role as a local commercial and administrative center.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d1607c8190a42dc664abe45b32 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:12 a.m.