Triple
T8539073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashot I Bagratuni |
E202149
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Bagaran |
E199205
|
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: Bagaran | Statement: [Ashot I Bagratuni, deathPlace, Bagaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagaran Context triple: [Ashot I Bagratuni, deathPlace, Bagaran]
-
A.
Bagaran
chosen
Bagaran was an important medieval city in historic Armenia that served as an early capital and cultural center of the Bagratid Armenian kingdom.
-
B.
Bariadi
Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
-
C.
Barshaini
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
D.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
E.
Barikot
Barikot is an ancient archaeological and historical town in Pakistan’s Swat Valley, known for its strategic location and remains from Indo-Greek and Buddhist periods.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a7441c8190980c3516073422fe |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce891a1fac8190bcae4063b24c760a |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:18 p.m.