Triple
T23025340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Axminster |
E573293
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Axe |
—
|
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: River Axe | Statement: [Axminster, hasRiver, River Axe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Axe Context triple: [Axminster, hasRiver, River Axe]
-
A.
River Axe
chosen
The River Axe is a river in southwest England that flows through Somerset and Dorset before reaching the English Channel.
-
B.
The Ax
The Ax is a darkly comic crime novel by Donald E. Westlake about a downsized executive who turns to murder to eliminate his job-market rivals.
-
C.
The Axe
The Axe is a novel by Sigrid Undset that forms part of her medieval Norwegian saga cycle "The Master of Hestviken."
-
D.
The Axe
The Axe is the nickname of South African former professional footballer Aaron Mokoena, renowned for his tough, hard-tackling defensive style.
-
E.
The Spear
The Spear is the nickname of the U.S. Air Force’s 53rd Wing, a unit known for operational testing and evaluation of advanced weapons and systems.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847c671c8190a8095051d8c3cf93 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.