Triple
T7311537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ball's Pyramid |
E168101
|
entity |
| Predicate | distanceToLordHoweIsland_km |
P76235
|
FINISHED |
| Object | about 20 |
—
|
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 20 | Statement: [Ball's Pyramid, distanceToLordHoweIsland_km, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLordHoweIsland_km Context triple: [Ball's Pyramid, distanceToLordHoweIsland_km, about 20]
-
A.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
B.
distanceToForster_km
Indicates the physical distance, measured in kilometers, between an entity and a reference location named Forster.
-
C.
distanceFromHobart
Indicates the spatial distance between a given entity and the location of Hobart.
-
D.
distanceToSaintHelena
Indicates the measured distance between a given entity and the location of Saint Helena.
-
E.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec00fef081909cb9768a70cabd80 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 3:02 p.m.