Triple
T11334380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmerville, Louisiana |
E268430
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Lake D’Arbonne |
E823056
|
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: Lake D’Arbonne | Statement: [Farmerville, Louisiana, hasFeature, Lake D’Arbonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake D’Arbonne Context triple: [Farmerville, Louisiana, hasFeature, Lake D’Arbonne]
-
A.
Lake D'Arbonne
chosen
Lake D'Arbonne is a large recreational reservoir in northern Louisiana known for fishing, boating, and its surrounding state park.
-
B.
Lake LaSalle
Lake LaSalle is a man-made lake located on the North Campus of the University at Buffalo, used for recreation and campus activities.
-
C.
Lake Mattoon
Lake Mattoon is a man-made reservoir in east-central Illinois used primarily for recreation and as a municipal water supply.
-
D.
Cedar Lake
Cedar Lake is a popular recreational lake in Minneapolis, Minnesota, known for its beaches, trails, and natural surroundings within the city's Chain of Lakes.
-
E.
Wallum Lake
Wallum Lake is a scenic freshwater lake on the Rhode Island–Massachusetts border known for recreation such as boating, fishing, and swimming.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6554d0b0081909cc031ff06b796c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:33 p.m.