Triple
T596298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Nasr SC |
E17389
|
entity |
| Predicate | hasProfessionalStatusSince |
P5762
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Al Nasr SC, hasProfessionalStatusSince, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalStatusSince Context triple: [Al Nasr SC, hasProfessionalStatusSince, 20th century]
-
A.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
B.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
C.
representedSince
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
-
D.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
E.
establishedAs
chosen
Indicates that one entity is formally created, designated, or recognized in a particular role, status, or identity as another entity.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.