Triple
T12153830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indiana Harbor |
E289523
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hammond, Indiana |
E73294
|
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: Hammond, Indiana | Statement: [Indiana Harbor, near, Hammond, Indiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammond, Indiana Context triple: [Indiana Harbor, near, Hammond, Indiana]
-
A.
Hammond, Indiana
chosen
Hammond, Indiana is an industrial city in northwestern Indiana near Chicago, known for its location along the Calumet River and its role in the Calumet Region’s manufacturing and transportation network.
-
B.
Hammond, Illinois
Hammond, Illinois is a small rural village located in Piatt County in central Illinois.
-
C.
Michigan City, Indiana
Michigan City, Indiana is a small city on the southern shore of Lake Michigan known as a gateway to the Indiana Dunes and a regional hub for lakefront recreation and tourism.
-
D.
Orleans, Indiana
Orleans, Indiana is a small rural town in southern Indiana known for its historic town square and annual Dogwood Festival.
-
E.
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.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915bf615c8190ad5f8ae8665678dc |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4c19248190913451db0a084172 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.