Triple
T489293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgaria |
E9949
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Mount Musala |
E31301
|
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: Mount Musala | Statement: [Bulgaria, highestPoint, Mount Musala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Musala Context triple: [Bulgaria, highestPoint, Mount Musala]
-
A.
Musala
chosen
Musala is the highest mountain peak in the Balkans, located in the Rila Mountain range of southwestern Bulgaria.
-
B.
Monte Patria
Monte Patria is a rural municipality and town in Chile’s Coquimbo Region, known for its agricultural production and scenic valleys.
-
C.
Moldoveanu Peak
Moldoveanu Peak is the tallest mountain in Romania, located in the Făgăraș Mountains of the Southern Carpathians and renowned as a prime destination for hikers and climbers.
-
D.
Mount Caubvick
Mount Caubvick is a prominent peak in the Torngat Mountains of eastern Canada, known for being the highest mountain in the region and a challenging destination for climbers.
-
E.
Mount Parnitha
Mount Parnitha is a prominent mountain and national park in Greece, known for its forests, wildlife, and hiking trails just northwest of Athens.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e0a9648190b6a3b2da3a3b51e6 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474738bb881908e5d0ff6a17301e8 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.