Triple
T7029445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizo Hills |
E163233
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Phawngpui |
E207891
|
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: Phawngpui | Statement: [Mizo Hills, highestPoint, Phawngpui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phawngpui Context triple: [Mizo Hills, highestPoint, Phawngpui]
-
A.
Yenangyaung
Yenangyaung is a town in central Myanmar known historically as the site of a major World War II battle between Allied and Japanese forces.
-
B.
Mongnai
Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
-
C.
Hmong Daw
Hmong Daw is a major variety of the Hmong language, widely spoken by Hmong communities in Southeast Asia and the global diaspora.
-
D.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
E.
Phawngpui National Park
chosen
Phawngpui National Park is a protected highland area in Mizoram, India, famed for its rich biodiversity and the scenic Blue Mountain, the highest peak in the 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e200ecdc819098ca07473dfb272a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.