Triple
T2405699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Beach |
E50271
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Honiara |
E8626
|
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: Honiara | Statement: [Red Beach, nearbyCity, Honiara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honiara Context triple: [Red Beach, nearbyCity, Honiara]
-
A.
Honiara
chosen
Honiara is the capital and largest city of the Solomon Islands, located on the island of Guadalcanal in the southwestern Pacific Ocean.
-
B.
Suva, Fiji
Suva, Fiji is the capital and largest city of Fiji, serving as a major political, economic, and regional administrative hub in the South Pacific.
-
C.
Marovo
Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
-
D.
Nukuʻalofa
Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
-
E.
Rabaul
Rabaul is a town on the island of New Britain in Papua New Guinea that served as a major Japanese naval and air base during World War II and was heavily targeted by Allied operations.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc308f388190a10f79a02a867057 |
completed | March 11, 2026, 5:22 a.m. |
Created at: March 4, 2026, 7:58 p.m.