Triple
T8368374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hương (Perfume) Pagoda |
E197391
|
entity |
| Predicate | mainFestivalDay |
P82342
|
FINISHED |
| Object | 15th day of the second 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: 15th day of the second lunar month | Statement: [Hương (Perfume) Pagoda, mainFestivalDay, 15th day of the second lunar month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFestivalDay Context triple: [Hương (Perfume) Pagoda, mainFestivalDay, 15th day of the second lunar month]
-
A.
mainFestival
Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
-
B.
mainParade
Indicates the relationship where an event or entity serves as the primary or central parade associated with a given context or occasion.
-
C.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
D.
day1Event
Indicates that an event occurs on or is associated with the first day of a specified period or sequence.
-
E.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808f7c0481909fef5834cb6e7a3e |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:01 p.m.