Triple
T7309579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quetta |
E168056
|
entity |
| Predicate | roleInPakistan |
P76223
|
FINISHED |
| Object | major fruit-supplying region |
—
|
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: major fruit-supplying region | Statement: [Quetta, roleInPakistan, major fruit-supplying region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPakistan Context triple: [Quetta, roleInPakistan, major fruit-supplying region]
-
A.
roleInIsrael
Indicates that an entity holds or held a specific role, position, or function within the context of Israel.
-
B.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
-
C.
roleInUAE
Indicates that an entity holds or has held a specific role, position, or function within the United Arab Emirates.
-
D.
roleInIndividualLife
Indicates the specific function, influence, or involvement that one entity has within the personal life or experiences of another entity.
-
E.
roleInRepublic
Indicates that an entity holds or plays a specific role or function within a republic or republican system.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebdbd6f481908e69e53dab452656 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 3:01 p.m.