Triple
T7491202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuksom |
E177007
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object | Gyalshing |
E668800
|
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: Gyalshing | Statement: [Yuksom, roadAccessFrom, Gyalshing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyalshing Context triple: [Yuksom, roadAccessFrom, Gyalshing]
-
A.
Gyalshing
chosen
Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
-
B.
Jingpho
Jingpho is a Tibeto-Burman language spoken primarily by the Jingpo people in parts of Myanmar, China, and India.
-
C.
Darchula
Darchula is a remote mountainous district in far-western Nepal known for its rugged Himalayan terrain, border with India and China, and culturally diverse communities.
-
D.
Gulmit
Gulmit is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, known for its traditional Wakhi culture, terraced fields, and views of the surrounding Karakoram peaks.
-
E.
Dhala
Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5767d3481909a9a0e099cc02d03 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856acc3208190985e10c285f41e02 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:43 p.m.