Triple
T15903106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabodwe |
E385639
|
entity |
| Predicate | precedes |
P97
|
FINISHED |
| Object | Tabaung |
E385640
|
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: Tabaung | Statement: [Tabodwe, precedes, Tabaung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabaung Context triple: [Tabodwe, precedes, Tabaung]
-
A.
Tabaung
chosen
Tabaung is the twelfth and final month of the traditional Burmese calendar, marked by various religious festivals and cultural observances in Myanmar.
-
B.
Shwebo
Shwebo is a historic city in central Myanmar best known as the birthplace and early royal seat of King Alaungpaya, founder of the Konbaung Dynasty.
-
C.
Tazaungdaing
Tazaungdaing is a prominent Burmese Buddhist festival, celebrated with offerings, lights, and communal merit-making at the end of the rainy season.
-
D.
Yandabo
Yandabo is a village in central Myanmar historically notable as the site where the Treaty of Yandabo ended the First Anglo-Burmese War in 1826.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563e79608190a1fdfe6265817616 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.