Triple
T7676582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hpa-an area |
E173874
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Hpa-an |
E316914
|
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: Hpa-an | Statement: [Hpa-an area, administrativeCenter, Hpa-an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hpa-an Context triple: [Hpa-an area, administrativeCenter, Hpa-an]
-
A.
Hpa-An
chosen
Hpa-An is a town in southeastern Myanmar known for its dramatic limestone mountains, caves, and role as the main urban and commercial center of Karen State.
-
B.
Hpa-an area
The Hpa-an area is a culturally significant region in southeastern Myanmar known as a heartland of the Karen people, featuring distinctive traditions, language, and religious practices.
-
C.
Hpapun
Hpapun is a major town in eastern Myanmar known for its location in the mountainous, conflict-affected region of Karen State.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
Mahatao
Mahatao is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, scenic rolling hills, and rugged seascapes.
- 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.