Triple
T6587872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchid Island |
E159271
|
entity |
| Predicate | distanceFromGreenIsland |
P71648
|
FINISHED |
| Object | about 60–70 km |
—
|
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 60–70 km | Statement: [Orchid Island, distanceFromGreenIsland, about 60–70 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromGreenIsland Context triple: [Orchid Island, distanceFromGreenIsland, about 60–70 km]
-
A.
distanceToGreatBarrierReef
Indicates the spatial distance between a given entity and the Great Barrier Reef.
-
B.
distanceFromBikiniAtoll
Indicates the spatial distance between an entity and Bikini Atoll.
-
C.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
D.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
E.
distanceFromTahiti
Indicates the measured spatial distance between a given location or object and Tahiti.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:55 p.m.