Triple
T8746396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk Island Airport |
E207837
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burnt Pine |
E207831
|
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: Burnt Pine | Statement: [Norfolk Island Airport, near, Burnt Pine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnt Pine Context triple: [Norfolk Island Airport, near, Burnt Pine]
-
A.
Burnt Pine
chosen
Burnt Pine is the main commercial and population center of Norfolk Island, serving as its largest town and hub for services and tourism.
-
B.
The Pine Log
The Pine Log is the student-run newspaper of Stephen F. Austin State University, covering campus news, events, and student life.
-
C.
Forest Burn
Forest Burn is a small tributary stream in Northumberland, England, that feeds into the River Coquet.
-
D.
In the Pines
"In the Pines" is a traditional American folk song, also known as "Where Did You Sleep Last Night," that has been widely covered and adapted across blues, country, and rock music.
-
E.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf43090d388190b6256623805a6348 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.