Triple
T13207208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nan River |
E314394
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Nakhon Sawan |
E909666
|
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: Nakhon Sawan | Statement: [Nan River, flowsThroughCity, Nakhon Sawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakhon Sawan Context triple: [Nan River, flowsThroughCity, Nakhon Sawan]
-
A.
Nakhon Sawan
chosen
Nakhon Sawan is a major city in central Thailand known as a key transportation hub and gateway between the country’s northern and central regions.
-
B.
Nakhon Nayok
Nakhon Nayok is a small central Thai province known for its waterfalls, national parks, and proximity to Bangkok as a popular nature getaway.
-
C.
Udon Thani
Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
-
D.
Nakhon Sawan Province
Nakhon Sawan Province is a central Thai province known as a key regional hub where major rivers converge and agriculture and trade are prominent.
-
E.
Ratchaburi
Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db383cc8190b1c65d202785838a |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 9, 2026, 9:17 p.m.