Triple
T3361504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Berenice |
E70730
|
entity |
| Predicate | isPilgrimageSite |
P20225
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mount Berenice, isPilgrimageSite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPilgrimageSite Context triple: [Mount Berenice, isPilgrimageSite, true]
-
A.
isPilgrimageDestination
chosen
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
-
B.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
C.
hasReligiousSite
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
D.
pilgrimageRouteTo
Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
-
E.
culturalSite
Indicates that one entity is recognized or designated as a cultural site associated with or located in relation to another entity.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26906948190851a7b7d543a4d64 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.