Triple
T16341798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lomaiviti Islands |
E396823
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Gau |
E1143114
|
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: Gau | Statement: [Lomaiviti Islands, hasIsland, Gau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gau Context triple: [Lomaiviti Islands, hasIsland, Gau]
-
A.
Gau
chosen
Gau is one of the main islands in Fiji’s Lomaiviti archipelago, known for its rugged interior, traditional villages, and rich marine surroundings.
-
B.
Gausa
Gausa is a river in Innlandet county, Norway, known for flowing through Gausdal and into the Gudbrandsdalslågen.
-
C.
Gour
Gour is an ancient ruined city in West Bengal, India, known for its rich medieval history and numerous Islamic and pre-Islamic architectural remains.
-
D.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
E.
Gouais
Gouais is an ancient white wine grape variety historically important as a parent of many classic European grape cultivars.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ad510819082e440f5e2bceada |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.