Triple
T13382166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villaggio Mall |
E319343
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Al Waab area |
E1004390
|
NE 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: Al Waab area | Statement: [Villaggio Mall, locatedIn, Al Waab area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Waab area Context triple: [Villaggio Mall, locatedIn, Al Waab area]
-
A.
Al Sufouh area
Al Sufouh area is a coastal district in Dubai known for its mix of residential communities, business hubs, and proximity to major technology and media free zones.
-
B.
Al-Oud district
Al-Oud district is a neighborhood in Riyadh, Saudi Arabia, known for encompassing the historic and prominent Al Oud Cemetery.
-
C.
Al Dafna area
chosen
Al Dafna area is a prominent modern business and commercial district in Doha, Qatar, known for its high-rise skyline along the waterfront.
-
D.
Al Wahat District
Al Wahat District is an administrative region in northeastern Libya that includes parts of the country’s oil-rich desert areas and key coastal settlements.
-
E.
Mansour District
Mansour District is a prominent urban district in western Baghdad known for its residential neighborhoods, commercial centers, and diplomatic facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce694788190881d1feac5b75720 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268b09808190b4ffd1db72e1f1f1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.