Triple
T28952193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piet Eeckhout |
E731046
|
entity |
| Predicate | countryOfBarMembership |
P198212
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Piet Eeckhout, countryOfBarMembership, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfBarMembership Context triple: [Piet Eeckhout, countryOfBarMembership, United Kingdom]
-
A.
FIBAMembershipCountry
Indicates that a country is a member of the International Basketball Federation (FIBA).
-
B.
countryOfOriginOfMembers
Indicates that one entity is the country from which the members of another entity originate.
-
C.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
D.
hasClubInCountry
Indicates that a club is located in, based in, or operates within a specified country.
-
E.
hasRegionalOrganizationMembershipOfCountry
Indicates that a country is a member of a specified regional organization.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fed357b2b4819084c709056a54461f |
completed | May 9, 2026, 6:25 a.m. |
| PD | Predicate disambiguation | batch_69fed103d9cc81909b11619745110c61 |
completed | May 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69fed3569ca881909f4291baeb665d9d |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 28, 2026, 8:44 a.m.