Triple
T16106399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dajia Jenn Lann Temple |
E390747
|
entity |
| Predicate | hasPilgrimageDuration |
P121959
|
FINISHED |
| Object | multi-day Mazu procession each year |
—
|
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: multi-day Mazu procession each year | Statement: [Dajia Jenn Lann Temple, hasPilgrimageDuration, multi-day Mazu procession each year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageDuration Context triple: [Dajia Jenn Lann Temple, hasPilgrimageDuration, multi-day Mazu procession each year]
-
A.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
B.
hasPilgrimageNumber
Indicates that an entity is associated with a specific pilgrimage identification number, typically used to track or distinguish individual pilgrimages or pilgrims.
-
C.
hasPilgrimageActivity
Indicates that an entity engages in, organizes, or is associated with a religious pilgrimage activity.
-
D.
pilgrimageDate
Indicates the date on which a pilgrimage takes place or is scheduled to occur.
-
E.
hasPilgrimageFunctionSince
Indicates that an entity has served a pilgrimage-related role or function continuously since a specified point in time.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5 a.m.