Triple
T15509996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongpan |
E368681
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Mong Pan |
E368681
|
NE FINISHED |
How this triple was built (2 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: Mong Pan | Statement: [Mongpan, capital, Mong Pan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mong Pan Context triple: [Mongpan, capital, Mong Pan]
-
A.
Mongpan
chosen
Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
-
B.
Mongnai
Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
-
C.
Hmong Daw
Hmong Daw is a major variety of the Hmong language, widely spoken by Hmong communities in Southeast Asia and the global diaspora.
-
D.
Nyaung-U
Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
-
E.
Sua Pan
Sua Pan is a large salt pan in northeastern Botswana that forms part of the extensive Makgadikgadi Pans system and is known for its stark, arid landscape and seasonal wildlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36702ebc81908d6a00243865de61 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.