Triple
T18788801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marakei Airport |
E459450
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Marakei |
—
|
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: Marakei | Statement: [Marakei Airport, serves, Marakei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marakei Context triple: [Marakei Airport, serves, Marakei]
-
A.
Marakei
chosen
Marakei is a coral atoll in the Pacific island nation of Kiribati, known for its traditional villages and encircling lagoon.
-
B.
Kaimaumau
Kaimaumau is a small coastal settlement in New Zealand’s Far North District, known for its wetlands, dunes, and proximity to Rangaunu Harbour.
-
C.
Tūhourangi
Tūhourangi is a Māori iwi (tribe) of the central North Island of New Zealand, traditionally associated with the Rotorua region and renowned for its cultural heritage and geothermal landscapes.
-
D.
Te Puia
Te Puia is a major Māori cultural and geothermal tourism center in Rotorua, New Zealand, renowned for its geysers, hot springs, and traditional arts and crafts institute.
-
E.
Taupo
Taupo is a popular resort town in New Zealand’s central North Island, known for Lake Taupo, geothermal attractions, and outdoor adventure tourism.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59784c5988190851755b7f47835e5 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.