Triple
T15560527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Lopat |
E370984
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Darien, Illinois |
E50135
|
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: Darien, Illinois | Statement: [Eddie Lopat, placeOfDeath, Darien, Illinois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darien, Illinois Context triple: [Eddie Lopat, placeOfDeath, Darien, Illinois]
-
A.
Darien, Illinois
chosen
Darien, Illinois is a suburban city located in DuPage County, west of Chicago, known for its residential neighborhoods and parkland.
-
B.
El Dara, Illinois
El Dara, Illinois is a small rural village located in Pike County in western Illinois.
-
C.
Ivesdale, Illinois
Ivesdale, Illinois is a small rural village located in central Illinois within Champaign County.
-
D.
Woodhull, Illinois
Woodhull, Illinois is a small rural village in western Illinois known for its agricultural surroundings and close-knit community.
-
E.
Mendota, Illinois
Mendota, Illinois is a small city in north-central Illinois known historically as a railroad junction and for its annual Sweet Corn Festival.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bafb761881908e7a891ef390982a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 4:09 a.m.