Triple
T38128870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahabodhi Mahavihara |
E952159
|
entity |
| Predicate | BodhiTreeName |
P47537
|
FINISHED |
| Object | Sri Maha Bodhi Tree |
—
|
NE NERFINISHED |
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: Sri Maha Bodhi Tree | Statement: [Mahabodhi Mahavihara, BodhiTreeName, Sri Maha Bodhi Tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BodhiTreeName Context triple: [Mahabodhi Mahavihara, BodhiTreeName, Sri Maha Bodhi Tree]
-
A.
botanicalNameOfTree
Indicates that one entity is the scientific (botanical) name corresponding to a given tree entity.
-
B.
templeName
Indicates that an entity is identified by or associated with the name of a temple.
-
C.
sacredTree
chosen
Indicates that an entity is regarded as a sacred or holy tree within a religious, spiritual, or cultural context.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
associatedWithSacredTree
Indicates a relationship in which an entity is linked or connected to a sacred tree, such as by location, significance, use, or ritual association.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.