Triple
T11080058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward Hall |
E261966
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Scott County |
E437420
|
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: Scott County | Statement: [Ward Hall, county, Scott County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott County Context triple: [Ward Hall, county, Scott County]
-
A.
Scott County
chosen
Scott County is a rural county in the U.S. state of Mississippi known for its agricultural economy and small-town communities.
-
B.
Harrison County
Harrison County is an East Texas county in the United States, historically significant for its role in the antebellum South and centered around its county seat, Marshall.
-
C.
Harrison County
Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
-
D.
Harrison County
Harrison County is a coastal county in southern Mississippi known for its tourism, casinos, and the cities of Biloxi and Gulfport.
-
E.
Marshall County
Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7999603948190934bca3a9151d726 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509b8c348819090f118fc69e3441f |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:27 p.m.