Triple
T26105969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inch Talla |
E658535
|
entity |
| Predicate | hasCurrentPermanentPopulation |
P159696
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Inch Talla, hasCurrentPermanentPopulation, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentPermanentPopulation Context triple: [Inch Talla, hasCurrentPermanentPopulation, 0]
-
A.
hasCurrentPopulationPlace
Indicates that a place currently has a specified population value or population-related attribute.
-
B.
hasPermanentHumanPopulation
Indicates that an entity consistently hosts a stable, long-term community of human residents rather than only temporary or transient occupants.
-
C.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
currentPopulation
Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
-
E.
hasCurrentPopulationEntity
chosen
Indicates that an entity currently has a specified population, represented by another entity (such as a population count or population record).
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 26, 2026, 7:58 p.m.