Triple
T19100066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gazit-Globe |
E467508
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Citycon |
—
|
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: Citycon | Statement: [Gazit-Globe, hasSubsidiary, Citycon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citycon Context triple: [Gazit-Globe, hasSubsidiary, Citycon]
-
A.
Citycon
chosen
Citycon is a Nordic real estate company specializing in owning, developing, and managing urban shopping centers and mixed-use properties.
-
B.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
-
C.
Système U
Système U was a French professional cycling team of the 1980s, known for competing in major road races such as the Tour de France.
-
D.
C&A
C&A is a major international fashion retail chain known for offering affordable clothing and accessories across numerous European and global markets.
-
E.
Pandian Stores
Pandian Stores is a popular Tamil-language family drama television series known for its ensemble cast and portrayal of joint family life, aired on Vijay TV.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36d279081908aeb472cd740c302 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.