Triple
T7677035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Htee Khee |
E173887
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Dawei |
E670775
|
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: Dawei | Statement: [Htee Khee, hasRoadConnectionTo, Dawei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawei Context triple: [Htee Khee, hasRoadConnectionTo, Dawei]
-
A.
Dawei
chosen
Dawei are an ethnic group from southern Myanmar, known for their distinct language and culture centered around the Tanintharyi coastal region.
-
B.
Dumai
Dumai is a coastal city in Indonesia on the island of Sumatra, known as an important industrial and maritime hub in Riau province.
-
C.
Mongla Port
Mongla Port is Bangladesh’s second-largest seaport, serving as a key maritime gateway in the country’s southwest region.
-
D.
Kyaukphyu
Kyaukphyu is a coastal town in western Myanmar that serves as a strategic deep-water port and hub for regional trade and energy projects.
-
E.
Mangaldoi
Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fbb4788190adf1e2d39be358c1 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a240057081908826a5371ef5215b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.