Triple
T6430393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tingri County |
E128163
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Shelkar |
E591788
|
NE 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: Shelkar | Statement: [Tingri County, administrativeCenter, Shelkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelkar Context triple: [Tingri County, administrativeCenter, Shelkar]
-
A.
Shelkar
chosen
Shelkar is a town in Tibet that serves as the administrative and historical center of Tingri County, known as a gateway to the Mount Everest region.
-
B.
Kedar
Kedar is traditionally regarded as one of the sons of Ishmael and the ancestor of a nomadic Arab tribe mentioned in biblical and historical sources.
-
C.
Shadharwan
Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
-
D.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
E.
Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bbc865c81909bf064b9253bc263 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:44 p.m.