Triple
T32627286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guhyasamāja |
E834092
|
entity |
| Predicate | tibetanName |
P125122
|
FINISHED |
| Object |
gsang ba ’dus pa
gsang ba ’dus pa is the Tibetan name for the Guhyasamāja Tantra, a central and highly influential Highest Yoga Tantra in Vajrayana Buddhism.
|
E2013666
|
NE FINISHED |
How this triple was built (3 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: gsang ba ’dus pa | Statement: [Guhyasamāja, tibetanName, gsang ba ’dus pa]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: gsang ba ’dus pa Triple: [Guhyasamāja, tibetanName, gsang ba ’dus pa]
Generated description
gsang ba ’dus pa is the Tibetan name for the Guhyasamāja Tantra, a central and highly influential Highest Yoga Tantra in Vajrayana Buddhism.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tibetanName Context triple: [Guhyasamāja, tibetanName, gsang ba ’dus pa]
-
A.
nameInTibetan
chosen
Indicates that an entity’s name is expressed or written in the Tibetan language.
-
B.
equivalentInTibet
Indicates that two entities are considered equivalent or correspond to each other within the context of Tibet.
-
C.
templeName
Indicates that an entity is identified by or associated with the name of a temple.
-
D.
hasNameInMongolian
Indicates that an entity is associated with a specific name expressed in the Mongolian language.
-
E.
roleInTibet
Indicates that an entity holds or has held a specific role, position, or function within the context of Tibet.
- F. None of above.
Provenance (6 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a348625ca808190a520aa634c54487f |
completed | June 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a3486911d8c8190983388d7191b4d77 |
completed | June 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a3487f13c6481908ecd6b8da6d6a37d |
completed | June 19, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:06 a.m.