Triple
T840288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofu |
E18160
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Olosega |
E15376
|
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: Olosega | Statement: [Ofu, connectedTo, Olosega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olosega Context triple: [Ofu, connectedTo, Olosega]
-
A.
Olosega
chosen
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
B.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
-
C.
Senaki
Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
-
D.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
-
E.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe5d7848190b15e0cb343b6f4ba |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257c87b081909f153c8f275c3d45 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:38 p.m.