Triple
T1857005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizoram |
E41724
|
entity |
| Predicate | highestPeak |
P1674
|
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: [Mizoram, highestPeak, Phawngpui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phawngpui Context triple: [Mizoram, highestPeak, Phawngpui]
-
A.
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.
-
B.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
C.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
-
D.
Maung Wuntha
Maung Wuntha was a prominent Burmese journalist, writer, and press freedom advocate known for his outspoken criticism of military rule in Myanmar.
-
E.
Mizo Hills
Mizo Hills is a mountainous region in the Indian state of Mizoram, known for its lush green landscapes, dense forests, and rich indigenous Mizo culture.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07fc5f08190a195a2f24d7b858a |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf4bda58819088adab01ca10254f |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.