Triple
T2390262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chao Phraya River |
E48923
|
entity |
| Predicate | passesLandmark |
P8340
|
FINISHED |
| Object | Wat Arun |
E61821
|
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: Wat Arun | Statement: [Chao Phraya River, passesLandmark, Wat Arun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wat Arun Context triple: [Chao Phraya River, passesLandmark, Wat Arun]
-
A.
Wat Arun
chosen
Wat Arun is a famous riverside Buddhist temple in Bangkok, Thailand, renowned for its towering, ornately decorated central prang that dominates the Chao Phraya River skyline.
-
B.
Neelkanth
Neelkanth is a revered epithet of the Hindu god Shiva, referring to his blue-throated form gained after consuming poison during the churning of the cosmic ocean.
-
C.
Mahodara
Mahodara is a revered form of the Hindu deity Ganesha, particularly associated with prosperity, generosity, and the fulfillment of devotees’ wishes.
-
D.
Chandi
Chandi is a fierce and powerful warrior aspect of the Hindu goddess Devi, associated with the destruction of evil and protection of the righteous.
-
E.
Skandagiri
Skandagiri is a sacred hill associated with the Hindu god Kartikeya, revered as one of his principal holy sites and pilgrimage destinations.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7de1478819082238e8b8f88ed06 |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d4f0608190bcc77a67fa85b963 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.