Triple
T22271947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GONZ |
E550498
|
entity |
| Predicate | hasNationalProfile |
P147648
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [GONZ, hasNationalProfile, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalProfile Context triple: [GONZ, hasNationalProfile, true]
-
A.
hasNationalStatus
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
-
B.
hasRegionalProfile
Indicates that an entity is associated with or characterized by a specific regional profile or set of region-based attributes.
-
C.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
D.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
E.
hasNationalTeamUser
Indicates that a user is associated with or belongs to a national team.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea449648190bb89ca292d32f59d |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:40 p.m.