Triple
T12315017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matamata |
E293577
|
entity |
| Predicate | distanceToHamilton |
P95530
|
FINISHED |
| Object | approximately 60 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 60 km | Statement: [Matamata, distanceToHamilton, approximately 60 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHamilton Context triple: [Matamata, distanceToHamilton, approximately 60 km]
-
A.
distanceFromHamilton
chosen
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
B.
distanceToHeilbronn
Indicates the spatial distance between a given entity or location and the city of Heilbronn.
-
C.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
D.
distanceProvidedBy
Indicates that a specific distance value is supplied or made available by a particular source or provider.
-
E.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
- F. None of above.
Provenance (3 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. |
Created at: April 8, 2026, 9:53 p.m.