Triple
T19595800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preah Ream |
E470344
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Krung Reap |
—
|
NE NERFINISHED |
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: Krung Reap | Statement: [Preah Ream, enemy, Krung Reap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krung Reap Context triple: [Preah Ream, enemy, Krung Reap]
-
A.
Krong Reap
chosen
Krong Reap is the primary demon antagonist in the Khmer epic Reamker, the Cambodian adaptation of the Ramayana.
-
B.
Ang Thong city
Ang Thong city is the capital and main urban center of Ang Thong Province in central Thailand, known for its traditional handicrafts and historic temples.
-
C.
Wat Muang
Wat Muang is a famous Buddhist temple in Thailand best known for housing one of the world’s largest seated Buddha statues.
-
D.
Phra Nakhon
Phra Nakhon is Bangkok’s historic central district, home to major cultural and political landmarks such as the Grand Palace and Wat Pho.
-
E.
Bueng Kan
Bueng Kan is a northeastern Thai city known as the capital of Bueng Kan Province, situated along the Mekong River near the border with Laos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.