Triple
T25096509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tri Sub-17 |
E628602
|
entity |
| Predicate | fifaWorldCupRunnerUp |
P26335
|
FINISHED |
| Object |
2013 FIFA U-17 World Cup
The 2013 FIFA U-17 World Cup was an international youth football tournament held in the United Arab Emirates, showcasing the world’s top under-17 national teams.
|
E1676192
|
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: 2013 FIFA U-17 World Cup | Statement: [El Tri Sub-17, fifaWorldCupRunnerUp, 2013 FIFA U-17 World Cup]
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: 2013 FIFA U-17 World Cup Triple: [El Tri Sub-17, fifaWorldCupRunnerUp, 2013 FIFA U-17 World Cup]
Generated description
The 2013 FIFA U-17 World Cup was an international youth football tournament held in the United Arab Emirates, showcasing the world’s top under-17 national teams.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldCupRunnerUp Context triple: [El Tri Sub-17, fifaWorldCupRunnerUp, 2013 FIFA U-17 World Cup]
-
A.
WorldCupRunnerUp
Indicates that an entity finished in second place in a FIFA World Cup tournament, losing in the final match.
-
B.
worldCupRunnerUp
chosen
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
C.
fifaConfederationsCupRunnerUp
Indicates that an entity finished in second place (was the runner-up) in a specified edition of the FIFA Confederations Cup.
-
D.
fifaWorldCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in a FIFA World Cup tournament.
-
E.
fifaU20WWC_runnersUp
Indicates the team that finished as runners-up (second place) in a given edition of the FIFA U-20 Women's World Cup.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075bce9ac81909e6c2bf41ea29da6 |
completed | May 22, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a1076991b208190945d037fd9eef5f2 |
completed | May 22, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1077bbf9448190bee4351dcb985c0c |
completed | May 22, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:25 a.m.