Triple
T7280463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Ultras |
E163132
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Shkhara |
E153953
|
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: Shkhara | Statement: [European Ultras, includes, Shkhara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shkhara Context triple: [European Ultras, includes, Shkhara]
-
A.
Shkhara
chosen
Shkhara is a prominent peak in the Greater Caucasus mountain range, known as one of the highest and most challenging mountains in the region.
-
B.
Ganjshakar
Ganjshakar is the revered Sufi saint Baba Farid’s honorific title, signifying him as a spiritual figure of great sanctity and generosity in the Chishti tradition.
-
C.
Gorakhnath Peak
Gorakhnath Peak is the highest and most prominent summit of the Girnar mountain range in Gujarat, India, known as a major site of Hindu pilgrimage.
-
D.
Mani Parbat
Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
-
E.
Shishapangma
Shishapangma is one of the world’s fourteen eight-thousanders, a major Himalayan peak located entirely within Tibet, China.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845df01dc8190ac219c0bb87bd83c |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 2:59 p.m.