Triple
T13160265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morlaix |
E312704
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Armorican Massif |
E363242
|
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: Armorican Massif | Statement: [Morlaix, partOf, Armorican Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armorican Massif Context triple: [Morlaix, partOf, Armorican Massif]
-
A.
Armorican Massif
chosen
The Armorican Massif is an ancient, heavily eroded geological massif in northwestern France, forming a core part of the region’s rugged upland landscape.
-
B.
Illinizas massif
The Illinizas massif is a volcanic mountain group in the Ecuadorian Andes, best known for its twin peaks Illiniza Norte and Illiniza Sur, which are popular destinations for climbers and hikers.
-
C.
Sete Cidades Massif
Sete Cidades Massif is a large volcanic complex on São Miguel Island in the Azores, best known for its dramatic caldera and twin crater lakes.
-
D.
Maladeta massif
The Maladeta massif is a prominent mountain group in the central Pyrenees of Spain, known for containing the range’s highest peaks and extensive glaciation.
-
E.
Montserrat massif
Montserrat massif is a distinctive multi-peaked mountain range in Catalonia, Spain, famed for its unique rock formations and the Montserrat Monastery.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf2ae688190b3484989791977ce |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.