Triple
T37733980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saṃdhinirmocana Sūtra |
E940230
|
entity |
| Predicate | tibetanTitle |
P125122
|
FINISHED |
| Object |
dgongs pa nges par ’grel pa’i mdo
dgongs pa nges par ’grel pa’i mdo is the standard Tibetan title of the Saṃdhinirmocana Sūtra, a foundational Mahāyāna scripture of the Yogācāra tradition that expounds the definitive meaning of the Buddha’s teachings.
|
E2240259
|
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: dgongs pa nges par ’grel pa’i mdo | Statement: [Saṃdhinirmocana Sūtra, tibetanTitle, dgongs pa nges par ’grel pa’i mdo]
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: dgongs pa nges par ’grel pa’i mdo Triple: [Saṃdhinirmocana Sūtra, tibetanTitle, dgongs pa nges par ’grel pa’i mdo]
Generated description
dgongs pa nges par ’grel pa’i mdo is the standard Tibetan title of the Saṃdhinirmocana Sūtra, a foundational Mahāyāna scripture of the Yogācāra tradition that expounds the definitive meaning of the Buddha’s teachings.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tibetanTitle Context triple: [Saṃdhinirmocana Sūtra, tibetanTitle, dgongs pa nges par ’grel pa’i mdo]
-
A.
nameInTibetan
chosen
Indicates that an entity’s name is expressed or written in the Tibetan language.
-
B.
titleInSanskritScript
Indicates that the title of an entity is expressed using the Sanskrit writing system.
-
C.
titleInKhmer
Indicates that one entity is the title of another entity expressed in the Khmer language.
-
D.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
E.
titleInBengaliScript
Indicates that the title of an entity is written or represented in the Bengali script.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d6857f7c8190a83556559a1d8a0e |
completed | June 28, 2026, 8:08 a.m. |
| NEDg | Description generation | batch_6a40d8f214388190a26189e3992d0b74 |
completed | June 28, 2026, 8:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40d94c5abc8190b2f8f70293c2bb29 |
completed | June 28, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.