Triple
T26230006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Leones |
E656007
|
entity |
| Predicate | associatedWithWomenTeam |
P13104
|
FINISHED |
| Object |
Athletic Club Femenino
Athletic Club Femenino is the women's football team of Athletic Club Bilbao, competing in Spain's top women's league and known for its strong Basque identity and youth development.
|
E1716091
|
NE FINISHED |
How this triple was built (3 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: Athletic Club Femenino | Statement: [Los Leones, associatedWithWomenTeam, Athletic Club Femenino]
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: Athletic Club Femenino Triple: [Los Leones, associatedWithWomenTeam, Athletic Club Femenino]
Generated description
Athletic Club Femenino is the women's football team of Athletic Club Bilbao, competing in Spain's top women's league and known for its strong Basque identity and youth development.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWomenTeam Context triple: [Los Leones, associatedWithWomenTeam, Athletic Club Femenino]
-
A.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
B.
womenTeam
chosen
Indicates that the team is composed of women or is designated as a women’s team.
-
C.
hasWomenTeamInLeague
Indicates that an entity has a women’s team that participates in a specified league.
-
D.
featuresWomenTeams
Indicates that the subject includes, presents, or involves teams composed of women.
-
E.
hasMenTeam
Indicates that an entity possesses, is associated with, or fields a men’s team.
- F. None of above.
Provenance (6 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1185968d588190a14f6f147291ab8f |
completed | May 23, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a1186f12e8c8190a7c1f7678e612425 |
completed | May 23, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11876410f4819091b6b45abd657f54 |
completed | May 23, 2026, 10:54 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: April 26, 2026, 8:59 p.m.