Triple
T2563147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakyamuni Buddha |
E57288
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Lumbini |
E73415
|
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: Lumbini | Statement: [Shakyamuni Buddha, birthPlace, Lumbini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumbini Context triple: [Shakyamuni Buddha, birthPlace, Lumbini]
-
A.
Lumbini
chosen
Lumbini is a sacred pilgrimage site in southern Nepal revered as the birthplace of Siddhartha Gautama, the Buddha.
-
B.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
C.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
D.
Pararaton
Pararaton is a Javanese historical chronicle, also known as the "Book of Kings," that narrates the legendary and political history of the Singhasari and Majapahit kingdoms in Indonesia.
-
E.
Yala
Yala is a major city in Thailand’s deep south, known as an administrative, commercial, and cultural center near the Malaysian border.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3374c648190a29b2cc209d66668 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d264db481908e9dc3b5e2e8260a |
completed | March 9, 2026, 11:52 p.m. |
Created at: March 6, 2026, 9:48 p.m.