Triple
T13897290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baptist War |
E334120
|
entity |
| Predicate | tookPlaceInParish |
P38128
|
FINISHED |
| Object | Hanover Parish |
E596165
|
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: Hanover Parish | Statement: [Baptist War, tookPlaceInParish, Hanover Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanover Parish Context triple: [Baptist War, tookPlaceInParish, Hanover Parish]
-
A.
Hanover Parish
chosen
Hanover Parish is a rural parish located on the northwestern coast of Jamaica, known for its agricultural landscape and coastal communities.
-
B.
Smiths Parish
Smiths Parish is one of Bermuda’s nine parishes, located on the main island’s central-eastern side and known for its coastal scenery and residential communities.
-
C.
Greenlaw Parish
Greenlaw Parish is an ecclesiastical and civil parish centered on the village of Greenlaw in the Scottish Borders region of Scotland.
-
D.
St. Helena Parish
St. Helena Parish is a rural parish in southeastern Louisiana known for its forests, small communities, and agricultural character.
-
E.
Clarendon Parish
Clarendon Parish is a largely rural administrative division in south-central Jamaica known for its agriculture, bauxite mining, and coastal wetlands.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cce10c88190bf25404fc4c75bbf |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 9, 2026, 10:15 p.m.