Triple
T13047288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isan |
E327356
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Yasothon
Yasothon is a provincial city in northeastern Thailand known for its annual rocket festival and strong Isan cultural traditions.
|
E1088148
|
NE FINISHED |
How this triple was built (4 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: Yasothon | Statement: [Isan, hasMajorCity, Yasothon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasothon Context triple: [Isan, hasMajorCity, Yasothon]
-
A.
Chachoengsao
Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
-
B.
Phatthalung
Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
-
C.
Ubon Ratchathani
Ubon Ratchathani is a major city in northeastern Thailand known for its rich Isan culture, Buddhist temples, and annual candle festival.
-
D.
Nakhon Sawan
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.
-
E.
Udon Thani
Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yasothon Triple: [Isan, hasMajorCity, Yasothon]
Generated description
Yasothon is a provincial city in northeastern Thailand known for its annual rocket festival and strong Isan cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasothon Target entity description: Yasothon is a provincial city in northeastern Thailand known for its annual rocket festival and strong Isan cultural traditions.
-
A.
Chachoengsao
Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
-
B.
Phatthalung
Phatthalung is a town in southern Thailand that serves as the administrative and cultural center of Phatthalung province.
-
C.
Ubon Ratchathani
Ubon Ratchathani is a major city in northeastern Thailand known for its rich Isan culture, Buddhist temples, and annual candle festival.
-
D.
Nakhon Sawan
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.
-
E.
Udon Thani
Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
- F. None of above. chosen
Provenance (5 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9805125e481908ed56f708de98a9e |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f0e59c8190b40213e999c75feb |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 9, 2026, 8:57 p.m.