Triple
T37762474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namatanai |
E941316
|
entity |
| Predicate | distanceToKavieng_km |
P204379
|
FINISHED |
| Object | approximately 260 |
—
|
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: approximately 260 | Statement: [Namatanai, distanceToKavieng_km, approximately 260]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKavieng_km Context triple: [Namatanai, distanceToKavieng_km, approximately 260]
-
A.
distanceFromFijiMainlandKilometres
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of Fiji.
-
B.
distanceToKororKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and Koror.
-
C.
distanceFromFunafuti
Indicates the measured distance between a given entity or location and Funafuti.
-
D.
distanceToNewCaledonia
Indicates the measured or calculated distance between a given entity’s location and the location of New Caledonia.
-
E.
distanceToNukuʻalofa
Indicates the physical distance between a given location or entity and Nukuʻalofa.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.