Triple
T655214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myanmar |
E11632
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Mon |
E56034
|
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: Mon | Statement: [Myanmar, ethnicGroup, Mon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mon Context triple: [Myanmar, ethnicGroup, Mon]
-
A.
Mon
chosen
The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
-
B.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
C.
Maand
Maand is a classical folk music style from Rajasthan, India, known for its expressive melodies and royal courtly associations.
-
D.
Perjeta
Perjeta is a monoclonal antibody drug used in combination therapies to treat HER2-positive breast cancer.
-
E.
Al-Ahad
Al-Ahad is an Islamic divine name of Allah emphasizing His absolute oneness and uniqueness without any partner or equal.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4d57688190a9515ac494a97b22 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a591486b708190b0191e958c6c8851 |
completed | March 2, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:36 p.m.