Triple
T2910167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne County, Indiana |
E63662
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Greens Fork, Indiana |
E309233
|
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: Greens Fork, Indiana | Statement: [Wayne County, Indiana, containsTown, Greens Fork, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greens Fork, Indiana Context triple: [Wayne County, Indiana, containsTown, Greens Fork, Indiana]
-
A.
Greens Fork, Indiana
chosen
Greens Fork, Indiana is a small rural town located in eastern Indiana within Wayne County.
-
B.
Woodburn, Indiana
Woodburn, Indiana is a small city in northeastern Indiana known as one of the easternmost communities in Allen County near the Ohio border.
-
C.
Highland, Indiana
Highland, Indiana is a suburban town in northwest Indiana that forms part of the Chicago metropolitan area.
-
D.
Kouts, Indiana
Kouts, Indiana is a small rural town located in northwestern Indiana within the Chicago metropolitan region.
-
E.
Huntertown, Indiana
Huntertown, Indiana is a small suburban town in northeastern Indiana, located just northwest of Fort Wayne.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0865c719c8190aacafe236b02c844 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.