Triple
T37342593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa women’s national rugby union team |
E927080
|
entity |
| Predicate | worldCupAppearances |
P23204
|
FINISHED |
| Object |
2014 Women’s Rugby World Cup
The 2014 Women’s Rugby World Cup was the premier international women’s rugby union tournament held in France, featuring the world’s top national teams competing for the sport’s highest honor.
|
E2228064
|
NE FINISHED |
How this triple was built (2 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: 2014 Women’s Rugby World Cup | Statement: [South Africa women’s national rugby union team, worldCupAppearances, 2014 Women’s Rugby 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: 2014 Women’s Rugby World Cup Triple: [South Africa women’s national rugby union team, worldCupAppearances, 2014 Women’s Rugby World Cup]
Generated description
The 2014 Women’s Rugby World Cup was the premier international women’s rugby union tournament held in France, featuring the world’s top national teams competing for the sport’s highest honor.
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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb5b9692448190a970a73881a44e27 |
completed | May 6, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c1ecfe48190889f9ae5c25299ea |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408d2e0fa08190b1cf565f595ed784 |
completed | June 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408d9a88588190acbfd23182ba0353 |
completed | June 28, 2026, 2:57 a.m. |
Created at: May 3, 2026, 4:16 p.m.