Triple
T12513330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taubman Centers |
E299134
|
entity |
| Predicate | tradesAs |
P10476
|
FINISHED |
| Object |
NYSE:TCO
NYSE:TCO is the former stock ticker symbol for Taubman Centers, a U.S.-based real estate investment trust specializing in upscale shopping malls.
|
E987914
|
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: NYSE:TCO | Statement: [Taubman Centers, tradesAs, NYSE:TCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NYSE:TCO Context triple: [Taubman Centers, tradesAs, NYSE:TCO]
-
A.
NASDAQ:CSCO
NASDAQ:CSCO is the stock ticker symbol for Cisco Systems, Inc., a leading global provider of networking hardware, software, and telecommunications equipment.
-
B.
TCO
TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
-
C.
TCO
TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
-
D.
NYSE:T
NYSE:T is the ticker symbol for AT&T Inc., a major U.S.-based multinational telecommunications and media company listed on the New York Stock Exchange.
-
E.
NYSE:TT
NYSE:TT is the stock ticker symbol for Trane Technologies plc, a global climate innovation company specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
- 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: NYSE:TCO Triple: [Taubman Centers, tradesAs, NYSE:TCO]
Generated description
NYSE:TCO is the former stock ticker symbol for Taubman Centers, a U.S.-based real estate investment trust specializing in upscale shopping malls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NYSE:TCO Target entity description: NYSE:TCO is the former stock ticker symbol for Taubman Centers, a U.S.-based real estate investment trust specializing in upscale shopping malls.
-
A.
NASDAQ:CSCO
NASDAQ:CSCO is the stock ticker symbol for Cisco Systems, Inc., a leading global provider of networking hardware, software, and telecommunications equipment.
-
B.
TCO
TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
-
C.
TCO
TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
-
D.
NYSE:T
NYSE:T is the ticker symbol for AT&T Inc., a major U.S.-based multinational telecommunications and media company listed on the New York Stock Exchange.
-
E.
NYSE:TT
NYSE:TT is the stock ticker symbol for Trane Technologies plc, a global climate innovation company specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541e752c8190bf12d2b5a37b53df |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbba5fc819082a4171a5a77183a |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:57 p.m.