Triple
T18623576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grambling, Louisiana |
E455217
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | Lincoln Parish |
—
|
NE NERFINISHED |
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: Lincoln Parish | Statement: [Grambling, Louisiana, parish, Lincoln Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln Parish Context triple: [Grambling, Louisiana, parish, Lincoln Parish]
-
A.
Lincoln Parish
chosen
Lincoln Parish is a north-central Louisiana parish known for its seat in Ruston and as home to Louisiana Tech University.
-
B.
Vermilion Parish
Vermilion Parish is a coastal parish in southern Louisiana known for its Cajun culture, agriculture, and wetlands along the Gulf of Mexico.
-
C.
Madison Parish
Madison Parish is a rural parish in northeastern Louisiana known for its agricultural economy and location along the Mississippi River.
-
D.
Webster Parish
Webster Parish is a parish in northwestern Louisiana known for its seat in the city of Minden and its mix of small-town communities, forests, and rural landscapes.
-
E.
Allen Parish
Allen Parish is a rural parish in southwestern Louisiana known for its timber industry, agriculture, and small-town communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f02dc248190a82341eeb2473593 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.