Triple
T10474006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Phnom |
E246999
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Daun Penh district |
E866806
|
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: Daun Penh district | Statement: [Wat Phnom, locatedIn, Daun Penh district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daun Penh district Context triple: [Wat Phnom, locatedIn, Daun Penh district]
-
A.
Daun Penh District
chosen
Daun Penh District is a central urban district of Phnom Penh, Cambodia, known as the city’s historic and political core.
-
B.
Phu Tan District
Phu Tan District is a rural administrative district located in Cà Mau Province in Vietnam’s Mekong Delta region.
-
C.
Dam Doi District
Dam Doi District is a rural administrative district in Cà Mau Province in Vietnam’s Mekong Delta region.
-
D.
Vu Ban District
Vu Ban District is a rural administrative district located within Nam Định Province in the Red River Delta region of northern Vietnam.
-
E.
Nam Dan District
Nam Dan District is a rural district in Nghệ An Province, Vietnam, best known as the birthplace of revolutionary leader and president Ho Chi Minh.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094e74048190a2c70ef32c50ba71 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933b40ff8819097e994a496228b7d |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:21 p.m.