Triple
T3853284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orb |
E85347
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Lamalou |
E395073
|
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: Lamalou | Statement: [Orb, hasTributary, Lamalou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamalou Context triple: [Orb, hasTributary, Lamalou]
-
A.
Lamalou-les-Bains
chosen
Lamalou-les-Bains is a spa town in southern France known for its thermal baths and therapeutic treatments.
-
B.
BAN Lann-Bihoué
BAN Lann-Bihoué is a major French naval air base in Brittany that serves as one of the principal operating and support platforms for French Naval Aviation aircraft and crews.
-
C.
Boussay
Boussay is a small French commune best known as the birthplace of General Jacques-François Menou, a prominent military figure of the French Revolutionary era.
-
D.
Le Beausset
Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
-
E.
Porquerolles
Porquerolles is a Mediterranean island off the southern coast of France, renowned for its unspoiled beaches, pine forests, and protected natural landscapes within the Îles d'Hyères archipelago.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec01f7b48190ba1ec89328b3fccb |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c7b37048190a22907ffc85140c3 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:19 p.m.