Triple
T10429020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunner |
E245859
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Gran |
E433528
|
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: Gran | Statement: [Lunner, bordersWith, Gran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gran Context triple: [Lunner, bordersWith, Gran]
-
A.
Gran
Gran is the historical German name for Esztergom, a prominent Hungarian city known as a former royal capital and major center of the Catholic Church in Hungary.
-
B.
Gran
chosen
Gran is a municipality in Innlandet county, Norway, known for its rural landscapes, historic churches, and location in the traditional district of Hadeland.
-
C.
Gran
Gran is the feisty, sharp-tongued grandmother of the Crood family in the animated film series "The Croods."
-
D.
Dun
Dun is a small settlement in Angus, Scotland, known for its historic country house and estate, House of Dun.
-
E.
Giant Mountains
The Giant Mountains are a high, rugged mountain range on the border between Poland and the Czech Republic, known for their alpine landscapes, unique ecosystems, and status as a popular hiking and winter sports destination.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4b4b5881908ae23f8efeea482b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ea554888190bf2ef31e33c0ff14 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:13 p.m.