Triple
T24763908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia Roberta Tough Bronze |
E619526
|
entity |
| Predicate | positionInRanking |
P152574
|
FINISHED |
| Object | one of the best defenders in women’s football |
—
|
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: one of the best defenders in women’s football | Statement: [Lucia Roberta Tough Bronze, positionInRanking, one of the best defenders in women’s football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInRanking Context triple: [Lucia Roberta Tough Bronze, positionInRanking, one of the best defenders in women’s football]
-
A.
roleInRanking
Indicates that an entity holds a specific position or function within a particular ranking or ordered list.
-
B.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
C.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
positionOnCompetition
Indicates the ranking or place an entity holds within the results of a specific competition.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- F. None of above.
Provenance (3 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 4:28 a.m.