Triple
T15686978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEA Tech |
E380225
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Saclay |
E336074
|
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: Saclay | Statement: [CEA Tech, locatedIn, Saclay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saclay Context triple: [CEA Tech, locatedIn, Saclay]
-
A.
Saclay
chosen
Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
-
B.
Bures-sur-Yvette
Bures-sur-Yvette is a suburban commune in the Île-de-France region of northern France, known for hosting part of the Paris-Saclay scientific and university cluster.
-
C.
Orsay
Orsay is a small uninhabited island off the southwest coast of Islay in Scotland, known for its historic lighthouse and rugged coastal scenery.
-
D.
Orsay
Orsay is a commune in the southern suburbs of Paris, France, known for hosting part of the Paris-Saclay University and several major scientific research institutions.
-
E.
Le Chesnay
Le Chesnay is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, located near Versailles.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee740e08190aa048b374ea7bfa0 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.