Triple
T9192279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waic |
E220618
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Bo Luang Lawa
Bo Luang Lawa is a subgroup of the Waic-speaking Lawa people, an ethnic community indigenous to parts of mainland Southeast Asia.
|
E783474
|
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: Bo Luang Lawa | Statement: [Waic, hasSubgroup, Bo Luang Lawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Luang Lawa Context triple: [Waic, hasSubgroup, Bo Luang Lawa]
-
A.
Doi Suthep
Doi Suthep is a prominent mountain in northern Thailand best known for its hilltop Wat Phra That Doi Suthep temple overlooking the city of Chiang Mai.
-
B.
Pratumnak Hill
Pratumnak Hill is a prominent hill in Pattaya, Thailand, known for its panoramic city and bay views and popular lookout spots.
-
C.
Khao Ra
Khao Ra is the tallest mountain on the Thai island of Ko Pha Ngan, known for its jungle hiking trails and panoramic views over the surrounding coastline.
-
D.
Mongnai
Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
-
E.
Doi Inthanon
Doi Inthanon is Thailand’s highest mountain, renowned for its cool climate, waterfalls, and biodiverse national park in the Himalayan foothills of northern Thailand.
- 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: Bo Luang Lawa Triple: [Waic, hasSubgroup, Bo Luang Lawa]
Generated description
Bo Luang Lawa is a subgroup of the Waic-speaking Lawa people, an ethnic community indigenous to parts of mainland Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bo Luang Lawa Target entity description: Bo Luang Lawa is a subgroup of the Waic-speaking Lawa people, an ethnic community indigenous to parts of mainland Southeast Asia.
-
A.
Doi Suthep
Doi Suthep is a prominent mountain in northern Thailand best known for its hilltop Wat Phra That Doi Suthep temple overlooking the city of Chiang Mai.
-
B.
Pratumnak Hill
Pratumnak Hill is a prominent hill in Pattaya, Thailand, known for its panoramic city and bay views and popular lookout spots.
-
C.
Khao Ra
Khao Ra is the tallest mountain on the Thai island of Ko Pha Ngan, known for its jungle hiking trails and panoramic views over the surrounding coastline.
-
D.
Mongnai
Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
-
E.
Doi Inthanon
Doi Inthanon is Thailand’s highest mountain, renowned for its cool climate, waterfalls, and biodiverse national park in the Himalayan foothills of northern Thailand.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c2bb2c481909db8c223aececf37 |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05d4ec9d48190bb425fe0449f4bf2 |
completed | April 4, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05dde94f08190aec82aa680ca0dce |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.