Triple
T9939046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menton |
E194030
|
entity |
| Predicate | hasSpecialty |
P466
|
FINISHED |
| Object | Menton lemons |
E808192
|
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: Menton lemons | Statement: [Menton, hasSpecialty, Menton lemons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menton lemons Context triple: [Menton, hasSpecialty, Menton lemons]
-
A.
Cassis
Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
-
B.
Lemon
Lemon is a 1993 song by U2 from their album "Zooropa," noted for its dance-oriented sound and Bono’s distinctive falsetto vocals.
-
C.
Lemon
chosen
Lemon is a citrus fruit known for its bright yellow color, sour taste, and wide use in cooking, beverages, and cleaning.
-
D.
Cavaillon melon
The Cavaillon melon is a highly prized French variety of cantaloupe known for its sweet, fragrant orange flesh and association with the Provence region.
-
E.
Cèze
The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e819e08190967b799fd236749e |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228fdb8e48190808702d48470395a |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.