Triple
T15816751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | འབྲུག་རྒྱལ་པོ་ |
E383498
|
entity |
| Predicate | nationalSymbol |
P129
|
FINISHED |
| Object | Druk (Thunder Dragon) |
E1022453
|
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: Druk (Thunder Dragon) | Statement: [འབྲུག་རྒྱལ་པོ་, nationalSymbol, Druk (Thunder Dragon)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Druk (Thunder Dragon) Context triple: [འབྲུག་རྒྱལ་པོ་, nationalSymbol, Druk (Thunder Dragon)]
-
A.
Druk
chosen
Druk is the thunder dragon of Bhutanese mythology, a national symbol that embodies the country's spiritual heritage and identity.
-
B.
Thunder Dragon
Thunder Dragon is the English rendering of "Druk," the mythical dragon symbol central to Bhutanese national identity and its Drukpa lineage of Tibetan Buddhism.
-
C.
Snow Mountain Flying Dragon
Snow Mountain Flying Dragon is a themed roller coaster attraction known for its high-speed thrills and mountainous, snow-inspired setting.
-
D.
Phalba
Phalba is an unincorporated rural community located in Van Zandt County in northeastern Texas, United States.
-
E.
Golden Dragon
The Golden Dragon is a prestigious award presented at the Kraków Film Festival, recognizing outstanding achievements in short and documentary filmmaking.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a306a48190840adc49df2c26c5 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99959f048190ae24a072387ec233 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.