Triple
T13903521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the White Dagoba |
E334287
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Araniko |
E712765
|
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: Araniko | Statement: [Temple of the White Dagoba, architect, Araniko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araniko Context triple: [Temple of the White Dagoba, architect, Araniko]
-
A.
Araniko
chosen
Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
-
B.
Aranoch
Aranoch is a vast desert region in the Diablo universe, known for its harsh climate, ancient ruins, and cities like Lut Gholein.
-
C.
Anjra
Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
-
D.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25db1e308190aaed6a21e443cc44 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.