Triple
T32092688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | hostStatusOfFrance |
P174869
|
FINISHED |
| Object | host nation of 2007 Rugby World Cup |
—
|
LITERAL 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: host nation of 2007 Rugby World Cup | Statement: [Argentina defeated France in opening match, hostStatusOfFrance, host nation of 2007 Rugby World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostStatusOfFrance Context triple: [Argentina defeated France in opening match, hostStatusOfFrance, host nation of 2007 Rugby World Cup]
-
A.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
B.
infrastructureManagerFrance
Indicates that an entity serves as the manager or operator responsible for infrastructure within France.
-
C.
reservedToFrance
Indicates that something is exclusively allocated or designated for France.
-
D.
primaryFrenchDestination
Indicates that one entity is the main or most significant travel destination in France for another entity.
-
E.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
- F. None of above. chosen
Provenance (4 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 12:25 a.m.