Triple
T9842300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myitkyina |
E239254
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Jinghpaw
Jinghpaw is a Tibeto-Burman language spoken primarily by the Kachin people in northern Myanmar and neighboring regions of China and India.
|
E825632
|
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: Jinghpaw | Statement: [Myitkyina, language, Jinghpaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinghpaw Context triple: [Myitkyina, language, Jinghpaw]
-
A.
Hsipaw
Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
-
B.
Lengpui
Lengpui is a town in the Indian state of Mizoram known primarily for hosting the region’s main airport serving the capital city, Aizawl.
-
C.
Ba Maw
Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
-
D.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
E.
Kyaukse
Kyaukse is a town in central Myanmar known for its fertile agricultural lands and historic Buddhist pagodas, located south of Mandalay in the Mandalay Region.
- 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: Jinghpaw Triple: [Myitkyina, language, Jinghpaw]
Generated description
Jinghpaw is a Tibeto-Burman language spoken primarily by the Kachin people in northern Myanmar and neighboring regions of China and India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinghpaw Target entity description: Jinghpaw is a Tibeto-Burman language spoken primarily by the Kachin people in northern Myanmar and neighboring regions of China and India.
-
A.
Hsipaw
Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
-
B.
Lengpui
Lengpui is a town in the Indian state of Mizoram known primarily for hosting the region’s main airport serving the capital city, Aizawl.
-
C.
Ba Maw
Ba Maw was a Burmese nationalist leader and politician who served as the head of state of Japanese-occupied Burma during World War II.
-
D.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
E.
Kyaukse
Kyaukse is a town in central Myanmar known for its fertile agricultural lands and historic Buddhist pagodas, located south of Mandalay in the Mandalay Region.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34e3420819084bb31170e643cd0 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e429682c8190a94339b96d4081f6 |
completed | April 5, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69d1e50214888190a93a9a27cc3f203f |
completed | April 5, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e5659fd88190bcee1dc2851df117 |
completed | April 5, 2026, 4:30 a.m. |
Created at: March 30, 2026, 8:33 p.m.