Triple
T34151546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaunghmudaw Pagoda |
E876011
|
entity |
| Predicate | diameter |
P1997
|
FINISHED |
| Object | approximately 274 meters at the base |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: approximately 274 meters at the base | Statement: [Kaunghmudaw Pagoda, diameter, approximately 274 meters at the base]
Provenance (2 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70f95ec98819085d82f40bd3425a7 |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:54 a.m.