Triple
T13690264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishon River |
E328241
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Acre |
E57659
|
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: Acre | Statement: [Kishon River, passesNear, Acre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acre Context triple: [Kishon River, passesNear, Acre]
-
A.
Acre
chosen
Acre is an ancient port city on the Mediterranean coast of present-day Israel, renowned for its well-preserved Crusader and Ottoman architecture and its long, strategic history.
-
B.
Acre (state)
Acre is a remote, heavily forested state in Brazil’s western Amazon region, known for its vast rainforest, rubber-tapping history, and rich Indigenous cultures.
-
C.
Acrefair
Acrefair is a village in Wrexham County Borough, Wales, historically linked to coal mining and situated near the town of Ruabon.
-
D.
Felda
Felda is a small river in central Germany that flows through Hesse and Thuringia before joining the Werra.
-
E.
Felda
Felda is a small unincorporated rural community located in Hendry County, Florida, known for its agricultural surroundings.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.