Triple
T4817202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudi Padwa |
E107616
|
entity |
| Predicate | gudiDescription |
P59827
|
FINISHED |
| Object | a bright silk cloth tied to the tip of a long bamboo |
—
|
LITERAL 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: a bright silk cloth tied to the tip of a long bamboo | Statement: [Gudi Padwa, gudiDescription, a bright silk cloth tied to the tip of a long bamboo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gudiDescription Context triple: [Gudi Padwa, gudiDescription, a bright silk cloth tied to the tip of a long bamboo]
-
A.
guru
Indicates that one entity serves as a spiritual teacher, guide, or mentor to another entity.
-
B.
GNDID
Indicates a standardized authority identifier linking an entity to its unique record in the Gemeinsame Normdatei (GND) authority file.
-
C.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
D.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
E.
hasGhat
Indicates that a place or location possesses or is associated with a ghat (a series of steps or landing area leading to a body of water).
- F. None of above. chosen
Provenance (4 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:24 p.m.