Triple
T34913569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murphy’s Haystacks |
E1006940
|
entity |
| Predicate | distanceFromPortKennyInKilometres |
P205608
|
FINISHED |
| Object | about 15 |
—
|
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 15 | Statement: [Murphy’s Haystacks, distanceFromPortKennyInKilometres, about 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPortKennyInKilometres Context triple: [Murphy’s Haystacks, distanceFromPortKennyInKilometres, about 15]
-
A.
distanceToNelsonBay_km
Indicates the physical distance, measured in kilometers, between a given location and Nelson Bay.
-
B.
distanceToHentiesBay_km
Indicates the distance, measured in kilometers, from a given location to Henties Bay.
-
C.
distanceFromKatherine
Indicates the spatial distance between an entity and Katherine.
-
D.
distanceToYeppoon_km
Indicates the physical distance, measured in kilometers, between a given location and Yeppoon.
-
E.
distanceToKingstonApprox
Indicates an approximate distance between a given location and Kingston.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.