Triple
T35053044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdullah Shah Ghazi |
E1011384
|
entity |
| Predicate | placeOfShrine |
P193903
|
FINISHED |
| Object | Karachi |
—
|
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: Karachi | Statement: [Abdullah Shah Ghazi, placeOfShrine, Karachi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfShrine Context triple: [Abdullah Shah Ghazi, placeOfShrine, Karachi]
-
A.
countryShrineOf
Indicates that a country is the location or host nation of a particular shrine.
-
B.
stateShrineOf
Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
-
C.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
D.
isMostSacredShrineOf
Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
-
E.
shrineName
Indicates that an entity has the specified name of a shrine.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:01 p.m.