Triple
T7452227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangzhou Greentown F.C. |
E172034
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object |
Baré
Baré is a Brazilian professional footballer known as a prolific striker who has played for several clubs in Asia, including a notable spell in the Chinese Super League.
|
E665670
|
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: Baré | Statement: [Hangzhou Greentown F.C., hasNotablePlayer, Baré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baré Context triple: [Hangzhou Greentown F.C., hasNotablePlayer, Baré]
-
A.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
B.
Bensafrim
Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
-
C.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
D.
Debré
Debré is a notable French surname associated with several prominent figures in politics, medicine, and public life in France.
-
E.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
- 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: Baré Triple: [Hangzhou Greentown F.C., hasNotablePlayer, Baré]
Generated description
Baré is a Brazilian professional footballer known as a prolific striker who has played for several clubs in Asia, including a notable spell in the Chinese Super League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baré Target entity description: Baré is a Brazilian professional footballer known as a prolific striker who has played for several clubs in Asia, including a notable spell in the Chinese Super League.
-
A.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
B.
Bensafrim
Bensafrim is a village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region.
-
C.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
D.
Debré
Debré is a notable French surname associated with several prominent figures in politics, medicine, and public life in France.
-
E.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b9a6048190bd3e3594b9cff2b7 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828e1487081908de825d60ea38c9e |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c829d8a15c8190911e0d7bda39c280 |
completed | March 28, 2026, 7:19 p.m. |
Created at: March 27, 2026, 3:14 p.m.