Triple
T14495699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmerston Island |
E359491
|
entity |
| Predicate | distanceToRarotonga |
P90927
|
FINISHED |
| Object | about 500 km northwest of Rarotonga |
—
|
LITERAL 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: about 500 km northwest of Rarotonga | Statement: [Palmerston Island, distanceToRarotonga, about 500 km northwest of Rarotonga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRarotonga Context triple: [Palmerston Island, distanceToRarotonga, about 500 km northwest of Rarotonga]
-
A.
distanceFromRarotonga
chosen
Indicates the spatial distance between a given entity and the location of Rarotonga.
-
B.
distanceFromTongatapu
Indicates the measured distance between a given location and Tongatapu.
-
C.
distanceFromTarawa
Indicates the spatial distance between a given location and Tarawa.
-
D.
distanceToPalikir
Indicates the spatial distance between a given location and Palikir.
-
E.
distanceFromTongaKilometres
Indicates the physical distance, measured in kilometers, between a given entity’s location and Tonga.
- F. None of above.
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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.