Triple
T32291588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domi |
E824978
|
entity |
| Predicate | hasPopulationInCountry |
P197600
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Domi, hasPopulationInCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationInCountry Context triple: [Domi, hasPopulationInCountry, India]
-
A.
hasPopulationCountry
Indicates that a specified population size is associated with, or belongs to, a particular country.
-
B.
hasPopulationOf
Indicates that an entity possesses a specific number of inhabitants or residents as its population.
-
C.
hasPopulationInRegion
chosen
Indicates that a specified population quantity is associated with, or resides within, a particular geographic or administrative region.
-
D.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
-
E.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: May 1, 2026, 12:44 a.m.