Triple
T13023888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maug Islands |
E326249
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | West Maug |
E1014942
|
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: West Maug | Statement: [Maug Islands, hasPart, West Maug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Maug Context triple: [Maug Islands, hasPart, West Maug]
-
A.
East Maug
East Maug is one of the small, uninhabited volcanic islets in the Maug Islands of the Northern Mariana Islands in the western Pacific Ocean.
-
B.
North Maug
chosen
North Maug is a small, uninhabited volcanic islet in the Northern Mariana Islands, forming part of the Maug Islands group in the western Pacific Ocean.
-
C.
Tegua Island
Tegua Island is a small, remote island in the Torres Islands group of northern Vanuatu, known for its vulnerability to sea-level rise and coastal erosion.
-
D.
Hibiscus Coast
Hibiscus Coast is a coastal suburban area north of Auckland, New Zealand, known for its beaches and residential communities.
-
E.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f861188190892b4d693395cc5e |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:52 p.m.