Triple
T3771021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shan Hills |
E83195
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hsipaw |
E368681
|
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: Hsipaw | Statement: [Shan Hills, contains, Hsipaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hsipaw Context triple: [Shan Hills, contains, Hsipaw]
-
A.
Parwanoo
Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
-
B.
Mongpan
chosen
Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
-
C.
Pasighat
Pasighat is one of the oldest and most prominent towns in northeastern India, located in the East Siang district of Arunachal Pradesh and known as a gateway to the region’s tribal cultures and natural landscapes.
-
D.
Salyan
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
-
E.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.