Triple
T6734352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linh Ung Pagoda |
E153714
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Guanyin |
E57606
|
NE 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: Guanyin | Statement: [Linh Ung Pagoda, dedicatedTo, Guanyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guanyin Context triple: [Linh Ung Pagoda, dedicatedTo, Guanyin]
-
A.
Guanyin
chosen
Guanyin is a revered bodhisattva in East Asian Buddhism associated with compassion and mercy, often depicted as a protective and benevolent figure who hears the cries of the world.
-
B.
Avalokiteśvara
Avalokiteśvara is a revered bodhisattva in Mahayana Buddhism embodying compassion and often depicted as a savior who hears the cries of sentient beings.
-
C.
Yakushi Nyorai
Yakushi Nyorai is the Medicine Buddha in Mahayana Buddhism, revered as a healing deity who alleviates physical and spiritual suffering.
-
D.
Manjushri
Manjushri is a revered bodhisattva in Mahayana Buddhism, especially associated with transcendent wisdom and often depicted wielding a flaming sword that cuts through ignorance.
-
E.
Amita
Amita is a skilled jeweler and member of the all-female heist crew in the film "Ocean's 8."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16d51dc8190869167d86e8f081f |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.