Triple
T12841665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makha Bucha |
E307064
|
entity |
| Predicate | fourfoldAssemblyCondition |
P107170
|
FINISHED |
| Object | 1,250 monks gathered spontaneously |
—
|
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: 1,250 monks gathered spontaneously | Statement: [Makha Bucha, fourfoldAssemblyCondition, 1,250 monks gathered spontaneously]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourfoldAssemblyCondition Context triple: [Makha Bucha, fourfoldAssemblyCondition, 1,250 monks gathered spontaneously]
-
A.
finalAssemblyBy
Indicates that one entity is responsible for performing the last stage of assembling or putting together another entity.
-
B.
angleCondition
Indicates that a specified geometric relationship holds between angles, such as equality, inequality, or a particular angular constraint.
-
C.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
D.
assembledDuring
Indicates that one entity is put together or constructed within the time period of another event or process.
-
E.
traditionalAssembly
Indicates that an entity is created, constructed, or put together using conventional, established methods rather than modern or alternative techniques.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:35 p.m.