Triple
T35136513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Me Abdoulaye Wade |
E1014587
|
entity |
| Predicate | countryGoverningBodyUser |
P203592
|
FINISHED |
| Object | Senegalese Football Federation |
E403468
|
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: Senegalese Football Federation | Statement: [Stade Me Abdoulaye Wade, countryGoverningBodyUser, Senegalese Football Federation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryGoverningBodyUser Context triple: [Stade Me Abdoulaye Wade, countryGoverningBodyUser, Senegalese Football Federation]
-
A.
countryGoverningBody
Indicates that a particular governing body holds official authority over and administers a specific country.
-
B.
countryGovernedOnBehalfOf
Indicates that a country is administered or ruled by one party acting in the name or interest of another party.
-
C.
governingBodyUser
Indicates that a user acts as a governing or decision-making authority for a particular entity or organization.
-
D.
governmentBodyUser
Indicates a relationship where a user is associated with, represents, or acts on behalf of a specific government body.
-
E.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
- F. None of above. chosen
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01ade363088190b3a3e3dedabd1aa2 |
completed | May 11, 2026, 10:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb0a419c8190a13fa94ee404c850 |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a01acf3c5788190932bd8fcf27c123d |
completed | May 11, 2026, 10:18 a.m. |
| PDg | Predicate description generation | batch_6a01ade289a48190b05e51bb6232e0f2 |
completed | May 11, 2026, 10:22 a.m. |
Created at: May 3, 2026, 4:02 p.m.