Triple
T17440423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooee Bay |
E424134
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Taranganba |
—
|
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: Taranganba | Statement: [Cooee Bay, hasNearbyLocality, Taranganba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taranganba Context triple: [Cooee Bay, hasNearbyLocality, Taranganba]
-
A.
Taranganba
chosen
Taranganba is a coastal residential locality in Queensland, Australia, situated near Yeppoon in the Capricorn Coast region.
-
B.
Nambalan
Nambalan is a barangay (village-level administrative division) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
-
C.
Tungag
Tungag is an Austronesian language spoken in Papua New Guinea, particularly associated with communities in the New Ireland region.
-
D.
Maguling
Maguling is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
-
E.
Tabogon
Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff75538819083f77756d39a1aaa |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.