Triple
T26135913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aror |
E659381
|
entity |
| Predicate | populationShiftTo |
P19590
|
FINISHED |
| Object | Rohri |
—
|
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: Rohri | Statement: [Aror, populationShiftTo, Rohri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationShiftTo Context triple: [Aror, populationShiftTo, Rohri]
-
A.
populationEvent
Indicates an event or occurrence that causes a change in the size, composition, or distribution of a population.
-
B.
historicalPopulationMovement
chosen
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
C.
populationConvertedTo
Indicates that a population has been transformed or changed from one state, condition, or classification into another.
-
D.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
E.
population
Indicates the total number of individuals living in or present within a specified area or group.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 26, 2026, 8:17 p.m.