Triple
T5934236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unibail-Rodamco-Westfield |
E132004
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
URW
URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
|
E556361
|
NE FINISHED |
How this triple was built (4 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: URW | Statement: [Unibail-Rodamco-Westfield, tickerSymbol, URW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: URW Context triple: [Unibail-Rodamco-Westfield, tickerSymbol, URW]
-
A.
URWW
URWW is the ICAO airport code assigned to Volgograd International Airport in Volgograd, Russia.
-
B.
URU
URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
-
C.
Ur
Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
-
D.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
-
E.
the U
The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: URW Triple: [Unibail-Rodamco-Westfield, tickerSymbol, URW]
Generated description
URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: URW Target entity description: URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
-
A.
URWW
URWW is the ICAO airport code assigned to Volgograd International Airport in Volgograd, Russia.
-
B.
URU
URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
-
C.
Ur
Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
-
D.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
-
E.
the U
The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
- F. None of above. chosen
Provenance (5 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_69c0c069e450819096b268637ffcd219 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c46fabf081908484ba066c25187b |
completed | March 23, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4f21528819093a36c07e2637446 |
completed | March 23, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4 p.m.