Triple
T19346210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentsū-ji Temple |
E483883
|
entity |
| Predicate | pilgrimsObtain |
P135507
|
FINISHED |
| Object | nokyocho stamp |
—
|
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: nokyocho stamp | Statement: [Zentsū-ji Temple, pilgrimsObtain, nokyocho stamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimsObtain Context triple: [Zentsū-ji Temple, pilgrimsObtain, nokyocho stamp]
-
A.
pilgrimsFrom
Indicates that one or more pilgrims originate from, or are associated with coming from, a particular place.
-
B.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
C.
isPilgrimTo
Indicates that one entity travels to or visits a place as a religious or spiritual pilgrimage in relation to another entity.
-
D.
pilgrimStatus
Indicates the status or condition of an individual in relation to their role or journey as a pilgrim.
-
E.
pilgrimFootfall
Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.