Triple
T13047285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isan |
E327356
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Maha Sarakham
Maha Sarakham is a provincial capital city in northeastern Thailand known as an educational hub with several universities and colleges.
|
E1083396
|
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: Maha Sarakham | Statement: [Isan, hasMajorCity, Maha Sarakham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maha Sarakham Context triple: [Isan, hasMajorCity, Maha Sarakham]
-
A.
Nakhon Ratchasima
Nakhon Ratchasima is a major city and provincial capital in northeastern Thailand, often considered the gateway to the Isan region.
-
B.
Nong Khai
Nong Khai is a riverside town in northeastern Thailand on the Mekong River, known as a key gateway to Laos and the nearby capital city of Vientiane.
-
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.
Ubon Ratchathani
Ubon Ratchathani is a major city in northeastern Thailand known for its rich Isan culture, Buddhist temples, and annual candle festival.
-
E.
Khon Kaen
Khon Kaen is a major urban and economic center in northeastern Thailand, known for its universities, transportation links, and role as a regional hub.
- 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: Maha Sarakham Triple: [Isan, hasMajorCity, Maha Sarakham]
Generated description
Maha Sarakham is a provincial capital city in northeastern Thailand known as an educational hub with several universities and colleges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maha Sarakham Target entity description: Maha Sarakham is a provincial capital city in northeastern Thailand known as an educational hub with several universities and colleges.
-
A.
Nakhon Ratchasima
Nakhon Ratchasima is a major city and provincial capital in northeastern Thailand, often considered the gateway to the Isan region.
-
B.
Nong Khai
Nong Khai is a riverside town in northeastern Thailand on the Mekong River, known as a key gateway to Laos and the nearby capital city of Vientiane.
-
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.
Ubon Ratchathani
Ubon Ratchathani is a major city in northeastern Thailand known for its rich Isan culture, Buddhist temples, and annual candle festival.
-
E.
Khon Kaen
Khon Kaen is a major urban and economic center in northeastern Thailand, known for its universities, transportation links, and role as a regional hub.
- 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_69fcf7cb4d348190962ba5fa21fbb77b |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd02e0fcc081909349dbe0d14f38ba |
completed | May 7, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd035441d8819084635cea48a163df |
completed | May 7, 2026, 9:25 p.m. |
Created at: April 9, 2026, 8:57 p.m.