Triple
T5934205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unibail-Rodamco-Westfield |
E132004
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Rodamco Europe |
E556359
|
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: Rodamco Europe | Statement: [Unibail-Rodamco-Westfield, formedByMergerOf, Rodamco Europe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodamco Europe Context triple: [Unibail-Rodamco-Westfield, formedByMergerOf, Rodamco Europe]
-
A.
Rodamco Europe
chosen
Rodamco Europe was a major European real estate investment company specializing in retail and commercial properties before merging into what is now Unibail-Rodamco-Westfield.
-
B.
Systra
Systra is a global engineering and consulting firm specializing in mass transit and rail infrastructure projects.
-
C.
Bolloré Group
Bolloré Group is a French multinational conglomerate best known for its diversified interests in logistics, media, and communications, and for being controlled by the Bolloré family.
-
D.
PSA Group
PSA Group was a major French automotive manufacturer best known for producing Peugeot, Citroën, and DS vehicles before merging to form Stellantis.
-
E.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3b68a1c81908a219ffee8300e02 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.