Triple
T34783565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikire central market |
E1002739
|
entity |
| Predicate | mainCommercialHubOf |
P9422
|
FINISHED |
| Object | Ikire |
—
|
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: Ikire | Statement: [Ikire central market, mainCommercialHubOf, Ikire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCommercialHubOf Context triple: [Ikire central market, mainCommercialHubOf, Ikire]
-
A.
isCommercialHubAlong
Indicates that a location functions as a commercial center situated along a specified route, corridor, or geographic feature.
-
B.
hasMajorCommercialCentre
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
C.
hasCommercialCenterType
Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
-
D.
isCommercialHubIn
chosen
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
-
E.
isUrbanAndIndustrialHub
Indicates that a place functions as a major center of urban activity and industrial production.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 3:59 p.m.