Triple
T10474286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phnom Penh International Airport |
E247004
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | PNH |
E864714
|
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: PNH | Statement: [Phnom Penh International Airport, hasCode, PNH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNH Context triple: [Phnom Penh International Airport, hasCode, PNH]
-
A.
PNH
chosen
PNH is the IATA airport code for Phnom Penh International Airport, the main international gateway to Cambodia’s capital city.
-
B.
MDS
MDS is the commonly used abbreviation for the College of Medical and Dental Sciences, a higher education institution focused on training healthcare professionals and conducting medical research.
-
C.
PKU
PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
-
D.
Alport
Alport is a small hamlet in Derbyshire, England, situated in the Peak District and known for its picturesque rural setting and historic stone buildings.
-
E.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
- 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_69d8dc68b49481909715c36a4c0e7c4f |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:21 p.m.