Triple
T29044012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Sunan Bonang |
E738080
|
entity |
| Predicate | hasTypeOfPilgrim |
P170451
|
FINISHED |
| Object | domestic pilgrims |
—
|
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: domestic pilgrims | Statement: [Tomb of Sunan Bonang, hasTypeOfPilgrim, domestic pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPilgrim Context triple: [Tomb of Sunan Bonang, hasTypeOfPilgrim, domestic pilgrims]
-
A.
hasPilgrimType
chosen
Indicates that an entity is associated with, classified as, or characterized by a particular type or category of pilgrim.
-
B.
isPilgrimTo
Indicates that one entity travels to or visits a place as a religious or spiritual pilgrimage in relation to another entity.
-
C.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
-
D.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
E.
hasPilgrimHost
Indicates that one entity serves as the host or provider of lodging or support for a pilgrim or group of pilgrims.
- F. None of above.
Provenance (3 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 28, 2026, 10:03 a.m.