Triple
T9406510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin State |
E226600
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Thantlang
Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
|
E797240
|
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: Thantlang | Statement: [Chin State, hasTown, Thantlang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thantlang Context triple: [Chin State, hasTown, Thantlang]
-
A.
Ta’ang
Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
-
B.
Mangdechhu
Mangdechhu is a river in Bhutan known for flowing through ecologically rich protected areas and hosting major hydropower projects.
-
C.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
D.
Thavung
Thavung is an ethnic minority group in Vietnam, culturally and linguistically distinct yet historically connected to the majority Kinh people.
-
E.
Tonsawang
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
- 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: Thantlang Triple: [Chin State, hasTown, Thantlang]
Generated description
Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thantlang Target entity description: Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
-
A.
Ta’ang
Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
-
B.
Mangdechhu
Mangdechhu is a river in Bhutan known for flowing through ecologically rich protected areas and hosting major hydropower projects.
-
C.
Tanintharyi
Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
-
D.
Thavung
Thavung is an ethnic minority group in Vietnam, culturally and linguistically distinct yet historically connected to the majority Kinh people.
-
E.
Tonsawang
Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c3fc988190ac34cc9e09f8ebfc |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1079bd644819081f9c8f25ff1c532 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1082f41b48190b8588bb986028f59 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108bab8c881909748ffbb4b23f4ba |
completed | April 4, 2026, 12:48 p.m. |
Created at: March 30, 2026, 7:47 p.m.