Triple
T17240402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 13/31 |
E418478
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Aberdeen, South Dakota |
E377625
|
NE 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: Aberdeen, South Dakota | Statement: [Runway 13/31, locatedIn, Aberdeen, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberdeen, South Dakota Context triple: [Runway 13/31, locatedIn, Aberdeen, South Dakota]
-
A.
Aberdeen, South Dakota
chosen
Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
-
B.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
C.
Salem, South Dakota
Salem, South Dakota is a small city in eastern South Dakota that serves as the administrative and commercial hub of McCook County.
-
D.
Aurora, South Dakota
Aurora, South Dakota is a small rural town in eastern South Dakota located near the city of Brookings.
-
E.
Hartford, South Dakota
Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e1f385c8190ae44e702923b6f66 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f1511c8190b70cb37e713a406a |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.