Triple
T7743295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon State |
E175561
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kyaikto
Kyaikto is a town in southeastern Myanmar best known as the gateway to the famous Golden Rock (Kyaiktiyo Pagoda) pilgrimage site.
|
E685685
|
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: Kyaikto | Statement: [Mon State, containsTown, Kyaikto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyaikto Context triple: [Mon State, containsTown, Kyaikto]
-
A.
Yenangyaung
Yenangyaung is a town in central Myanmar known historically as the site of a major World War II battle between Allied and Japanese forces.
-
B.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
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.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
E.
Amarapura
Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
- 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: Kyaikto Triple: [Mon State, containsTown, Kyaikto]
Generated description
Kyaikto is a town in southeastern Myanmar best known as the gateway to the famous Golden Rock (Kyaiktiyo Pagoda) pilgrimage site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyaikto Target entity description: Kyaikto is a town in southeastern Myanmar best known as the gateway to the famous Golden Rock (Kyaiktiyo Pagoda) pilgrimage site.
-
A.
Yenangyaung
Yenangyaung is a town in central Myanmar known historically as the site of a major World War II battle between Allied and Japanese forces.
-
B.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
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.
Maung
Maung is a Burmese surname commonly used in Myanmar and among the Burmese diaspora.
-
E.
Amarapura
Amarapura is a former royal city in Myanmar renowned for its role as an early Burmese capital and for landmarks such as the U Bein Bridge.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70388d58081909aad2c03b4501e78 |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be48d61c8190aba1e5f23d7cb1be |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bf664390819093c2381ff0f8aaca |
completed | March 29, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bff4965881909a341db7d234632a |
completed | March 29, 2026, 6 a.m. |
Created at: March 27, 2026, 4:07 p.m.