Triple
T7490546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanna Kingdom |
E176993
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Lamphun |
E671756
|
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: Lamphun | Statement: [Lanna Kingdom, majorCity, Lamphun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamphun Context triple: [Lanna Kingdom, majorCity, Lamphun]
-
A.
Lamphun
chosen
Lamphun is a historic provincial capital in northern Thailand, known for its ancient Hariphunchai kingdom heritage and well-preserved temples.
-
B.
Phitsanulok
Phitsanulok is a historic provincial city in northern Thailand known as a regional transport hub and home to the revered Wat Phra Si Rattana Mahathat temple.
-
C.
Nakhon Si Thammarat
Nakhon Si Thammarat is a historic coastal city in southern Thailand known for its ancient temples, particularly Wat Phra Mahathat, and its role as a regional cultural and economic center.
-
D.
Lampang
Lampang is a historic provincial city in northern Thailand known for its well-preserved Lanna architecture, horse-drawn carriages, and important Buddhist temples.
-
E.
Chachoengsao
Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55bdb3481908653b46eafba011d |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 3:43 p.m.