Triple
T4749921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Metropolitan Subway |
E105452
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | AREX |
E467931
|
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: AREX | Statement: [Seoul Metropolitan Subway, hasPart, AREX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AREX Context triple: [Seoul Metropolitan Subway, hasPart, AREX]
-
A.
AREX
chosen
AREX is a South Korean airport railroad line that provides rapid rail transit between central Seoul and its major airports, including Gimpo and Incheon.
-
B.
REX
REX is a radio science experiment instrument aboard NASA's New Horizons spacecraft used to study the atmospheres and surfaces of planetary bodies through radio signal measurements.
-
C.
AKX
AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
-
D.
ARCX
ARCX is the Market Identifier Code for the NYSE Arca exchange, an electronic securities trading platform operated by the New York Stock Exchange.
-
E.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b24440819081f3932eb6b68b48 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.