Triple
T312105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Masjid an-Nabawi |
E7629
|
entity |
| Predicate | pilgrimageStatus |
P127
|
FINISHED |
| Object | major destination for Islamic pilgrimage |
—
|
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: major destination for Islamic pilgrimage | Statement: [Al-Masjid an-Nabawi, pilgrimageStatus, major destination for Islamic pilgrimage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimageStatus Context triple: [Al-Masjid an-Nabawi, pilgrimageStatus, major destination for Islamic pilgrimage]
-
A.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
B.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
C.
emblemStatus
Indicates the current state or condition of an emblem, such as whether it is active, valid, displayed, or in use.
-
D.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
religiousStatus
Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.