Triple
T26138095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | لها_دور_تجاري |
P47325
|
FINISHED |
| Object | مركز تجاري مهم في وادي النيل |
—
|
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: مركز تجاري مهم في وادي النيل | Statement: [منف, لها_دور_تجاري, مركز تجاري مهم في وادي النيل]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: لها_دور_تجاري Context triple: [منف, لها_دور_تجاري, مركز تجاري مهم في وادي النيل]
-
A.
hasShoppingDistrictName
Indicates that an entity’s shopping district is identified by a specific name.
-
B.
isShoppingDistrict
Indicates that a location functions primarily as a shopping district, characterized by a concentration of retail stores and commercial shopping activity.
-
C.
حل_محل
Indicates that one entity takes the place of, substitutes for, or replaces another entity in a given role, position, or context.
-
D.
isShoppingDestination
chosen
Indicates that a place serves as a primary location where people go to shop for goods or services.
-
E.
tradeHubWith
Indicates that one entity functions as a central location or node for trading activities in connection with another entity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.