Triple
T21713641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greymouth Airport |
E535966
|
entity |
| Predicate | hasPushpinLabel |
P13793
|
FINISHED |
| Object | GMN |
E1497621
|
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: GMN | Statement: [Greymouth Airport, hasPushpinLabel, GMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMN Context triple: [Greymouth Airport, hasPushpinLabel, GMN]
-
A.
GMN
chosen
GMN is the IATA airport code for Greymouth Airport, a regional airport serving the town of Greymouth on New Zealand’s South Island.
-
B.
GNT
GNT is the station code for Guntur Junction, a major railway hub in the Indian state of Andhra Pradesh.
-
C.
GNT
GNT is an abbreviation for the Good News Translation, a modern English Bible version known for its clear, easy-to-understand language.
-
D.
GMK
GMK is a Nigerian music producer known for crafting contemporary Afrobeats and hip-hop sounds, including work on Burna Boy’s “African Giant” era.
-
E.
GMK
GMK is a 2001 Japanese kaiju film in the Godzilla franchise that pits Godzilla against Mothra, King Ghidorah, and Baragon in a darker, supernatural-themed storyline.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5369be88190bafc10863d4d1bd7 |
completed | April 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ec80c508190b46dcd4db623f900 |
completed | May 17, 2026, 9:10 p.m. |
Created at: April 16, 2026, 6:47 p.m.