Triple
T12937645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mornant |
E309554
|
entity |
| Predicate | roadAccessTo |
P22549
|
FINISHED |
| Object | Givors |
E305676
|
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: Givors | Statement: [Mornant, roadAccessTo, Givors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givors Context triple: [Mornant, roadAccessTo, Givors]
-
A.
Givors
chosen
Givors is a commune in eastern France located in the Metropolis of Lyon, known historically as an industrial and river-port town on the Rhône.
-
B.
Gorst
Gorst is a small unincorporated community in Kitsap County, Washington, located at the head of Sinclair Inlet near Bremerton.
-
C.
Arvegil
Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
-
D.
Gimirri
Gimirri is the Akkadian name for the ancient nomadic people known as the Cimmerians, who inhabited the Eurasian steppe and raided parts of Anatolia and the Near East.
-
E.
Fargus
Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0ec7e8081909fcff6cff11a9337 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:43 p.m.