Triple
T13966130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jilliby |
E335927
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Morisset |
E842604
|
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: Morisset | Statement: [Jilliby, hasNearbyLocality, Morisset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morisset Context triple: [Jilliby, hasNearbyLocality, Morisset]
-
A.
Morisset
chosen
Morisset is a town in the City of Lake Macquarie, New South Wales, Australia, known as a regional centre near the southern end of Lake Macquarie.
-
B.
Maincy
Maincy is a commune in north-central France best known for encompassing the Château and Gardens of Vaux-le-Vicomte.
-
C.
Missillac
Missillac is a commune in western France’s Loire-Atlantique department, known for its rural character and historic Château de la Bretesche.
-
D.
Mercy-le-Haut
Mercy-le-Haut is a small commune in northeastern France, notable as the birthplace of former French president Albert Lebrun.
-
E.
Muscoy
Muscoy is an unincorporated community in San Bernardino County, California, known for its semi-rural character within the Inland Empire region.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8e47d48190a1d5e841810fe50c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.