Triple
T11523801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Thurne |
E273235
|
entity |
| Predicate | hasSourceNear |
P2064
|
FINISHED |
| Object | Hickling |
E603136
|
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: Hickling | Statement: [River Thurne, hasSourceNear, Hickling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hickling Context triple: [River Thurne, hasSourceNear, Hickling]
-
A.
Hickling
chosen
Hickling is a village in Norfolk, England, known for its proximity to the large wetland nature reserve Hickling Broad in the Norfolk Broads.
-
B.
Hickling
Hickling is a rural village in Nottinghamshire, England, known for its scenic countryside and historic canal.
-
C.
Hickling
Hickling is the middle name of the renowned 19th-century American historian William H. Prescott, noted for his works on the Spanish Empire.
-
D.
Hickey
Hickey is the charismatic yet unsettling traveling salesman whose arrival and revelations drive the emotional and philosophical unraveling of the barroom denizens in Eugene O’Neill’s play "The Iceman Cometh."
-
E.
Kekerdom
Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.