Triple
T8546812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iver Heath, Buckinghamshire |
E202348
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Iver |
E506887
|
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: Iver | Statement: [Iver Heath, Buckinghamshire, near, Iver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iver Context triple: [Iver Heath, Buckinghamshire, near, Iver]
-
A.
Iver
chosen
Iver is a masculine given name of Norse origin, closely related to the name Ivar and used in various Scandinavian and Germanic countries.
-
B.
Avre
The Avre is a river in northern France that serves as a tributary of the Eure, flowing through the Normandy and Centre-Val de Loire regions.
-
C.
Sauarelva
Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
-
D.
Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
-
E.
Vasagatan
Vasagatan is a major central street in Stockholm, Sweden, known for its busy traffic, shops, and proximity to Stockholm Central Station.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe7511f8c819083d69fb6a0b55801 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dbbb12c819085d1abe289fd1f22 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.