Triple
T23303422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Airport |
E590366
|
entity |
| Predicate | distanceFromEnnis |
P143122
|
FINISHED |
| Object | approximately 22 km south |
—
|
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 22 km south | Statement: [Shannon Airport, distanceFromEnnis, approximately 22 km south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromEnnis Context triple: [Shannon Airport, distanceFromEnnis, approximately 22 km south]
-
A.
distanceToEnnis
chosen
Indicates the spatial distance between a given entity or location and the place named Ennis.
-
B.
distanceToInverness
Indicates the spatial distance between a given entity and the location of Inverness.
-
C.
distanceToDunoon
Indicates the spatial distance between a given entity and the location of Dunoon.
-
D.
distanceFromFortSimpson
Indicates the measured distance between a given entity and the location known as Fort Simpson.
-
E.
distanceToElgin
Indicates the spatial distance between a given entity and the location identified as Elgin.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19724de488190ac8eb89253c8dd53 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:04 p.m.