Triple
T23174952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanambogo |
E578969
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tulagi |
—
|
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: Tulagi | Statement: [Tanambogo, near, Tulagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulagi Context triple: [Tanambogo, near, Tulagi]
-
A.
Tulagi
chosen
Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
-
B.
Torokina
Torokina is a small coastal settlement on Bougainville Island in Papua New Guinea, known historically as a World War II Allied beachhead and airfield site.
-
C.
Tassafaronga
Tassafaronga is a coastal area on the northwestern shore of Guadalcanal in the Solomon Islands, known primarily as the site of a major World War II naval engagement.
-
D.
Nuku
Nuku is the principal village and administrative center of Rabi Island in Fiji.
-
E.
Marovo
Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f69cb1881909e0f47d3b32e2cb1 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.