Triple
T22309597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongdae |
E551476
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | AREX |
—
|
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: AREX | Statement: [Hongdae, servedBy, AREX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AREX Context triple: [Hongdae, servedBy, 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.
Arex
Arex is a defense and firearms manufacturer known for producing pistols and other small arms as part of the WB Group portfolio.
-
C.
Arex
Arex is a three-armed, three-legged Edosian Starfleet officer who serves as navigator on the USS Enterprise in Star Trek: The Animated Series.
-
D.
Aveksa
Aveksa is an identity and access management company, known for its governance and lifecycle solutions, that was acquired and rebranded by RSA.
-
E.
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.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.