Triple
T1536794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana |
E32567
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fort Wayne |
E40602
|
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: Fort Wayne | Statement: [Indiana, hasCity, Fort Wayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Wayne Context triple: [Indiana, hasCity, Fort Wayne]
-
A.
Fort Wayne, Indiana
chosen
Fort Wayne, Indiana is a major city in northeastern Indiana known as a regional economic, cultural, and manufacturing hub.
-
B.
Indianapolis
Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
-
C.
Fort Wayne metropolitan area
The Fort Wayne metropolitan area is a regional urban and economic hub in northeastern Indiana centered on the city of Fort Wayne and its surrounding communities.
-
D.
Mishawaka, Indiana
Mishawaka, Indiana is a city in northern Indiana near South Bend, known for its manufacturing history and as the longtime base of vehicle maker AM General.
-
E.
Richmond, Indiana
Richmond, Indiana is a small city in eastern Indiana known historically as a regional transportation hub and for its contributions to early jazz recording and manufacturing.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90829e60081909d3f9f79585e080e |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58a7b1fc8190b76b09e64097b881 |
completed | March 9, 2026, 5:20 a.m. |
Created at: March 4, 2026, 7:26 p.m.