Triple
T13838725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Lemovicensis |
E332594
|
entity |
| Predicate | hasPilgrimInfrastructure |
P7835
|
FINISHED |
| Object | pilgrim hostels |
—
|
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: pilgrim hostels | Statement: [Via Lemovicensis, hasPilgrimInfrastructure, pilgrim hostels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimInfrastructure Context triple: [Via Lemovicensis, hasPilgrimInfrastructure, pilgrim hostels]
-
A.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
B.
containsPilgrimageTown
Indicates that a place or region includes within its boundaries a town that serves as a destination or center for religious pilgrimage.
-
C.
hasPilgrimagePeak
Indicates that a place or route is associated with a specific peak that serves as a destination or focal point for religious or spiritual pilgrimage.
-
D.
hasPilgrimageFunctionSince
Indicates that an entity has served a pilgrimage-related role or function continuously since a specified point in time.
-
E.
hasTouristInfrastructure
chosen
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc86668e08190ba9135d1c3f38d35 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.