Triple
T27114517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumi Naga |
E686803
|
entity |
| Predicate | notableDistrictsInNagaland |
P135755
|
FINISHED |
| Object | Zunheboto district |
—
|
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: Zunheboto district | Statement: [Sumi Naga, notableDistrictsInNagaland, Zunheboto district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDistrictsInNagaland Context triple: [Sumi Naga, notableDistrictsInNagaland, Zunheboto district]
-
A.
notableDistrictCovered
chosen
Indicates that a place or entity includes within its area a district that is considered notable or significant.
-
B.
notableDistrictConcentration
Indicates that a notable or significant concentration of something (such as people, activities, or features) is present within a particular district.
-
C.
mandalHeadquartersOf
Indicates that a location serves as the administrative headquarters for a specified mandal (sub-district).
-
D.
borderingBhutaneseDistricts
Indicates that the specified Bhutanese districts share a common boundary with each other.
-
E.
distanceFromAizawl_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Aizawl.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: April 27, 2026, 8:55 a.m.