Triple
T35565718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parnngurr |
E1027767
|
entity |
| Predicate | distanceFromNewman |
P207050
|
FINISHED |
| Object | approximately 370 kilometres east |
—
|
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 370 kilometres east | Statement: [Parnngurr, distanceFromNewman, approximately 370 kilometres east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNewman Context triple: [Parnngurr, distanceFromNewman, approximately 370 kilometres east]
-
A.
distanceFromUrbana
Indicates the measured spatial distance between a given entity or location and Urbana.
-
B.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
-
C.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
D.
distanceFromWarren_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the location of Warren.
-
E.
distanceFromNewHaven
Indicates the spatial distance between an entity and the location of New Haven.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.