Triple
T13298736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Samarqandi |
E316750
|
entity |
| Predicate | geographicConnection |
P3227
|
FINISHED |
| Object | Islamic world |
—
|
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: Islamic world | Statement: [Al-Samarqandi, geographicConnection, Islamic world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicConnection Context triple: [Al-Samarqandi, geographicConnection, Islamic world]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
continentConnection
Indicates a relationship where two or more entities are linked by being located on, spanning, or otherwise associated with the same continent or connected continents.
-
C.
cityRelationship
Indicates a relationship that specifies how one city is connected or related to another city (e.g., administratively, geographically, or functionally).
-
D.
geographicallySeparatedFrom
Indicates that two places or regions are distinct and apart from each other in physical location or geographic space.
-
E.
connectsCountryOrRegion
Indicates that one entity establishes a connection, link, or association to a specific country or region.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:28 p.m.