Triple
T14144994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alps four-thousanders |
E350521
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mont Maudit |
E23793
|
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: Mont Maudit | Statement: [Alps four-thousanders, hasMember, Mont Maudit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Maudit Context triple: [Alps four-thousanders, hasMember, Mont Maudit]
-
A.
Mont Maudit
chosen
Mont Maudit is a prominent peak in the Mont Blanc massif of the Alps, known for its challenging mixed climbing routes and high-altitude glaciated terrain.
-
B.
Mont Perdu
Mont Perdu is a prominent limestone peak in the Pyrenees on the border between France and Spain, renowned for its dramatic cliffs and inclusion in a UNESCO World Heritage Site.
-
C.
Morne Diablotins
Morne Diablotins is a prominent stratovolcano and the second-highest peak in the Lesser Antilles, located in the northern part of Dominica.
-
D.
Mont Pourri
Mont Pourri is a prominent alpine peak in the French Alps, known for its glaciated slopes and popularity among mountaineers.
-
E.
Mont d’Est
Mont d’Est is a major commercial and business district in Noisy-le-Grand, in the eastern suburbs of Paris, known for its shopping center and modern urban development.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61214de081909a5186ff11336f97 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:53 a.m.