Triple
T26467692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell to the Sacred Mosque |
E665812
|
entity |
| Predicate | requiresPresenceIn |
P180302
|
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: [Farewell to the Sacred Mosque, requiresPresenceIn, Mecca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresPresenceIn Context triple: [Farewell to the Sacred Mosque, requiresPresenceIn, Mecca]
-
A.
requiresPresence
Indicates that one entity’s existence, operation, or validity depends on another entity being present or available.
-
B.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
C.
possiblePresenceIn
Indicates that an entity may be located in, occur in, or exist within a specified place, context, or container, without asserting that it is definitively present there.
-
D.
requestedPresenceOf
Indicates that one entity has asked or required another entity to be present at a specific place, time, or event.
-
E.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 27, 2026, 12:17 a.m.