Triple
T18536291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Ann Parish |
E452973
|
entity |
| Predicate | containsAttraction |
P5121
|
FINISHED |
| Object | Nine Mile |
—
|
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: Nine Mile | Statement: [Saint Ann Parish, containsAttraction, Nine Mile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nine Mile Context triple: [Saint Ann Parish, containsAttraction, Nine Mile]
-
A.
Nine Mile
chosen
Nine Mile is a small Jamaican village best known as the birthplace and mausoleum of reggae legend Bob Marley.
-
B.
Mosquito Creek
Mosquito Creek is a stream in northeastern Ohio that flows through the city of Niles and contributes to the local watershed and flood control system.
-
C.
Banana Creek
Banana Creek is a rural locality within Queensland’s Banana Shire, known for its agricultural landscape and sparse population.
-
D.
Drift Creek
Drift Creek is a river in Lincoln County, Oregon, known for flowing through coastal forest landscapes and supporting local recreation and wildlife habitats.
-
E.
Nine Mile Road
Nine Mile Road is the primary commercial corridor in Ferndale, Michigan, known for its concentration of shops, restaurants, and local businesses.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5340256d08190bf22d2cb064413b2 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.