Triple
T13461386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pongaroa, New Zealand |
E311374
|
entity |
| Predicate | distanceToDannevirke |
P109593
|
FINISHED |
| Object | approximately 70 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 70 km | Statement: [Pongaroa, New Zealand, distanceToDannevirke, approximately 70 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDannevirke Context triple: [Pongaroa, New Zealand, distanceToDannevirke, approximately 70 km]
-
A.
distanceFromHadriansWall
Indicates the measured spatial distance between a given entity and Hadrian’s Wall.
-
B.
distanceToKoblenz
Indicates the spatial distance between a given entity and the location of Koblenz.
-
C.
distanceFromDunkirk
Indicates the spatial distance between a given entity and the location of Dunkirk.
-
D.
distanceToNuremberg
Indicates the spatial distance between a given entity and the location of Nuremberg.
-
E.
distanceFromLongyearbyen
Indicates the measured distance between a given location and Longyearbyen.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03dcd0c8190a8927eb4eaad1c45 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.