Triple
T13145502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feni group |
E312324
|
entity |
| Predicate | hasSecondLargestIsland |
P19038
|
FINISHED |
| Object | Babase |
E1024262
|
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: Babase | Statement: [Feni group, hasSecondLargestIsland, Babase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babase Context triple: [Feni group, hasSecondLargestIsland, Babase]
-
A.
Babase
chosen
Babase is one of the islands that make up the Feni Islands group in Papua New Guinea.
-
B.
Basaseachi
Basaseachi is a small town in Chihuahua, Mexico, known as the gateway to the nearby Basaseachic Falls and the surrounding Sierra Madre Occidental landscapes.
-
C.
Baza
Baza is an alternative name for the Kunama people, an ethnic group primarily living in parts of Eritrea and northern Ethiopia.
-
D.
Baza
Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
-
E.
Bayabas
Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff0c88dc8190bcb83482d6df39b5 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:10 p.m.