Triple
T7483660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrang district |
E176824
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Mangaldoi |
E666163
|
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: Mangaldoi | Statement: [Darrang district, containsSettlement, Mangaldoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangaldoi Context triple: [Darrang district, containsSettlement, Mangaldoi]
-
A.
Mangaldoi
chosen
Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
-
B.
Mawlynnong
Mawlynnong is a village in the Indian state of Meghalaya renowned for its exceptional cleanliness, eco-friendly practices, and living root bridges.
-
C.
Suhungmung
Suhungmung was a prominent 16th-century Ahom king of Assam known for major territorial expansion, administrative reforms, and successful resistance against external invasions.
-
D.
Mokokchung
Mokokchung is a prominent town in northeastern India known as a cultural and intellectual hub of the Ao Naga community in Nagaland.
-
E.
Kawthaung
Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c68bcf081908a2c280152d887f0 |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:42 p.m.