Triple
T8383541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đống Đa Mound |
E197754
|
entity |
| Predicate | Đống Đa FestivalDate |
P81776
|
FINISHED |
| Object | 5th day of the first lunar month |
—
|
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: 5th day of the first lunar month | Statement: [Đống Đa Mound, Đống Đa FestivalDate, 5th day of the first lunar month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Đống Đa FestivalDate Context triple: [Đống Đa Mound, Đống Đa FestivalDate, 5th day of the first lunar month]
-
A.
festivalObserved
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
B.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
-
C.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
D.
determinesFestival
Indicates that one entity decides, defines, or selects which festival is applicable or will occur for another entity or context.
-
E.
hasFestivalImportance
Indicates that something holds notable significance, relevance, or prominence within the context of a festival or festive event.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80ded0ec81909771482e1a015a67 |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:02 p.m.