Triple
T28288759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerlach–Empire Airport |
E713360
|
entity |
| Predicate | distanceFromGerlach (miles) |
P201235
|
FINISHED |
| Object | approximately 2 |
—
|
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 2 | Statement: [Gerlach–Empire Airport, distanceFromGerlach (miles), approximately 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromGerlach (miles) Context triple: [Gerlach–Empire Airport, distanceFromGerlach (miles), approximately 2]
-
A.
distanceFromGillam_km
Indicates the distance, measured in kilometers, between an entity and the location Gillam.
-
B.
distanceFromGirvan
Indicates the spatial distance between an entity and the location named Girvan.
-
C.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
D.
distanceToGallup
Indicates the measured or calculated spatial distance between a given entity and the location identified as Gallup.
-
E.
distanceToHeilbronn
Indicates the spatial distance between a given entity or location and the city of Heilbronn.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
| PDg | Predicate description generation | batch_69ffe01be6e88190ac0742a5f74e769e |
completed | May 10, 2026, 1:32 a.m. |
Created at: April 27, 2026, 11:28 p.m.