Triple
T12315018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matamata |
E293577
|
entity |
| Predicate | distanceToTauranga |
P104416
|
FINISHED |
| Object | approximately 50 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: approximately 50 km | Statement: [Matamata, distanceToTauranga, approximately 50 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTauranga Context triple: [Matamata, distanceToTauranga, approximately 50 km]
-
A.
distanceToWhanganui
Indicates the measured spatial distance between a given entity and the location Whanganui.
-
B.
distanceToPalmerstonNorth
Indicates the spatial distance between a given location and Palmerston North.
-
C.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
-
D.
distanceToGreymouth
Indicates the spatial distance between a given entity or location and the town of Greymouth.
-
E.
distanceToChristchurch
Indicates the spatial distance between a given entity’s location and the location of Christchurch.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.