Triple
T4937210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzerne County |
E110840
|
entity |
| Predicate | containsTownship |
P847
|
FINISHED |
| Object | Hazle Township |
E469774
|
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: Hazle Township | Statement: [Luzerne County, containsTownship, Hazle Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazle Township Context triple: [Luzerne County, containsTownship, Hazle Township]
-
A.
Hazle Township, Pennsylvania
chosen
Hazle Township, Pennsylvania is a municipality in Luzerne County known for its mix of residential communities, industrial areas, and proximity to the city of Hazleton in the state’s northeastern coal region.
-
B.
Heath Township
Heath Township is a civil township located within Allegan County in the U.S. state of Michigan.
-
C.
Hopkins Township
Hopkins Township is a rural civil township located in Allegan County in the U.S. state of Michigan.
-
D.
Warren Township
Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
-
E.
Malcom Township
Malcom Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70872270819080769dad972681ef |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77bcb8d881908d393223bdea145a |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.