Triple
T16174254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fer Servadou |
E392520
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mansois |
E447925
|
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: Mansois | Statement: [Fer Servadou, alsoKnownAs, Mansois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mansois Context triple: [Fer Servadou, alsoKnownAs, Mansois]
-
A.
Mansois
chosen
Mansois is a local name for the red wine grape variety Fer Servadou, traditionally used in the wines of southwest France.
-
B.
Lalumière
Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
-
C.
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
-
D.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Mancioux
Mancioux is a small commune in southwestern France, located in the Haute-Garonne department within the Occitanie 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb9b8208190b60874cec7a3a98e |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bfc3ac819082596cc533c5faa4 |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.