Triple
T28655131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore–Jeddah |
E725309
|
entity |
| Predicate | usedByPilgrimsTo |
P163423
|
FINISHED |
| Object | Mecca |
—
|
NE NERFINISHED |
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: Mecca | Statement: [Lahore–Jeddah, usedByPilgrimsTo, Mecca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByPilgrimsTo Context triple: [Lahore–Jeddah, usedByPilgrimsTo, Mecca]
-
A.
pilgrimsUse
chosen
Indicates that pilgrims make use of or employ something (such as an object, place, or service) in the course of their pilgrimage.
-
B.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
C.
primaryPilgrims
Indicates that the referenced entities are the main or principal participants undertaking a pilgrimage in relation to something or someone.
-
D.
pilgrimsFrom
Indicates that one or more pilgrims originate from, or are associated with coming from, a particular place.
-
E.
isPilgrimTo
Indicates that one entity travels to or visits a place as a religious or spiritual pilgrimage 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 28, 2026, 4:54 a.m.