Triple
T30460192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tin Can Island |
E774982
|
entity |
| Predicate | distanceFromMainTonganIslands |
P203121
|
FINISHED |
| Object | remote |
—
|
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: remote | Statement: [Tin Can Island, distanceFromMainTonganIslands, remote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMainTonganIslands Context triple: [Tin Can Island, distanceFromMainTonganIslands, remote]
-
A.
distanceFromTongatapu
Indicates the measured distance between a given location and Tongatapu.
-
B.
distanceFromTongaKilometres
Indicates the physical distance, measured in kilometers, between a given entity’s location and Tonga.
-
C.
distanceFromRarotonga
Indicates the spatial distance between a given entity and the location of Rarotonga.
-
D.
distanceFromFunafuti
Indicates the measured distance between a given entity or location and Funafuti.
-
E.
distanceFromFijiMainlandKilometres
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of Fiji.
- F. None of above. chosen
Provenance (4 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
| PDg | Predicate description generation | batch_6a0124a538a08190b42e6f35d216da74 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 29, 2026, 8:10 p.m.