Triple
T34024490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woombah |
E872468
|
entity |
| Predicate | distanceToIluka |
P205281
|
FINISHED |
| Object | approximately 7 kilometres southwest |
—
|
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 7 kilometres southwest | Statement: [Woombah, distanceToIluka, approximately 7 kilometres southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToIluka Context triple: [Woombah, distanceToIluka, approximately 7 kilometres southwest]
-
A.
distanceToPula
Indicates the measured or calculated spatial distance between a given entity and the location Pula.
-
B.
distanceToIława
Indicates the spatial distance between a given entity or location and the town of Iława.
-
C.
distanceToIalysos
Indicates a spatial relationship specifying the distance between a given entity and the location Ialysos.
-
D.
distanceToRaetihi
Indicates the spatial distance between a given entity and the location Raetihi.
-
E.
distanceToLafia_km
Indicates the distance, measured in kilometers, from a given location or entity to Lafia.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
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 1, 2026, 1:51 a.m.