Triple
T37489856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakhursky District |
E931649
|
entity |
| Predicate | largelyInhabitedBy |
P179761
|
FINISHED |
| Object | Tsakhur people |
—
|
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: Tsakhur people | Statement: [Tsakhursky District, largelyInhabitedBy, Tsakhur people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largelyInhabitedBy Context triple: [Tsakhursky District, largelyInhabitedBy, Tsakhur people]
-
A.
inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
-
B.
inhabitedIn
Indicates that an entity lives, resides, or has its dwelling within a specified place or location.
-
C.
inhabitantOf
Indicates that an entity lives in or resides within a specified place or location.
-
D.
mainInhabitant
Indicates that an entity is the primary or most significant resident or occupant of a particular place or location.
-
E.
mainlyOccupiedBy
chosen
Indicates that a place or space is predominantly used or filled by a particular type of entity or activity.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.