Triple
T8629576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkerton, Indiana |
E204365
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Plymouth, Indiana |
E445286
|
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: Plymouth, Indiana | Statement: [Walkerton, Indiana, locatedNear, Plymouth, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plymouth, Indiana Context triple: [Walkerton, Indiana, locatedNear, Plymouth, Indiana]
-
A.
Plymouth, Indiana
chosen
Plymouth, Indiana is a small Midwestern city in northern Indiana known as a local commercial and cultural hub for the surrounding rural region.
-
B.
Montpelier, Indiana
Montpelier, Indiana is a small city in Blackford County known historically as the birthplace of Francis Avent Gumm, the father of actress Judy Garland.
-
C.
La Paz, Indiana
La Paz, Indiana is a small Midwestern town located in northern Indiana within Marshall County.
-
D.
Rochester, Indiana
Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
-
E.
Long Beach, Indiana
Long Beach, Indiana is a small lakeside town on the shore of Lake Michigan known for its residential character and beachside recreation.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47406efc8190b559c68764b7455d |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeae6b0b08190beb13109ba589d81 |
completed | April 3, 2026, 4:29 p.m. |
Created at: March 30, 2026, 6:27 p.m.