Triple
T2924466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hobart Airport |
E78809
|
entity |
| Predicate | distanceFromCityCentre_km |
P1299
|
FINISHED |
| Object | approximately 17 |
—
|
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 17 | Statement: [Hobart Airport, distanceFromCityCentre_km, approximately 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCityCentre_km Context triple: [Hobart Airport, distanceFromCityCentre_km, approximately 17]
-
A.
directionFromCityCentre
Indicates the compass direction in which one location lies relative to the city centre.
-
B.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
C.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
-
D.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
E.
distanceFromStockholmCityCentre
Indicates the measured distance between a given location and the center of Stockholm city.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.