Triple
T5129037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patha Bhavana |
E115649
|
entity |
| Predicate | hasMottoSource |
P47757
|
FINISHED |
| Object | Rabindranath Tagore’s educational philosophy |
—
|
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: Rabindranath Tagore’s educational philosophy | Statement: [Patha Bhavana, hasMottoSource, Rabindranath Tagore’s educational philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMottoSource Context triple: [Patha Bhavana, hasMottoSource, Rabindranath Tagore’s educational philosophy]
-
A.
hasMottoOrigin
chosen
Indicates that a motto originates from, or is derived from, a particular source, place, or context.
-
B.
mottoDerivedFrom
Indicates that one motto is derived, adapted, or taken from another source, such as a phrase, text, or earlier motto.
-
C.
hasMottoLikeFunction
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
-
D.
hasMottoContext
Indicates that an entity’s motto is associated with or applies within a specific contextual setting or scope.
-
E.
hasMottoInText
Indicates that an entity has a motto expressed in a specific textual form or wording.
- F. None of above.
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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.