Triple
T18767551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Ek Phnom |
E458929
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sangkae River |
—
|
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: Sangkae River | Statement: [Wat Ek Phnom, locatedNear, Sangkae River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangkae River Context triple: [Wat Ek Phnom, locatedNear, Sangkae River]
-
A.
Sangkae River
chosen
The Sangkae River is a key waterway in northwestern Cambodia that flows through and sustains the city of Battambang and its surrounding agricultural areas.
-
B.
Harangi River
The Harangi River is a tributary of the Kaveri River in Karnataka, India, known for the Harangi Dam that supports irrigation and regional water management.
-
C.
Chon-Kemin River
The Chon-Kemin River is a mountain river in northern Kyrgyzstan that flows through the scenic Chon-Kemin Valley before joining the Chu River.
-
D.
Louhajang River
The Louhajang River is a regional waterway in central Bangladesh that flows through Tangail District and supports local agriculture, fisheries, and transportation.
-
E.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d859c8081909cec3aa64d264885 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.