Triple

T20704188
Position Surface form Disambiguated ID Type / Status
Subject Tanger Factory Outlet Centers, Inc. E508857 entity
Predicate tickerSymbol P1447 FINISHED
Object SKT
SKT is the stock ticker symbol for Tanger Factory Outlet Centers, Inc., a publicly traded real estate investment trust specializing in outlet shopping centers.
E1445968 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: SKT | Statement: [Tanger Factory Outlet Centers, Inc., tickerSymbol, SKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKT
Context triple: [Tanger Factory Outlet Centers, Inc., tickerSymbol, SKT]
  • A. SKT
    SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
  • B. SKT
    SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
  • C. SKT
    SKT is the stock exchange ticker symbol for Sky Network Television Limited, a major pay television and broadcasting company in New Zealand.
  • D. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • E. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • 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: SKT
Triple: [Tanger Factory Outlet Centers, Inc., tickerSymbol, SKT]
Generated description
SKT is the stock ticker symbol for Tanger Factory Outlet Centers, Inc., a publicly traded real estate investment trust specializing in outlet shopping centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKT
Target entity description: SKT is the stock ticker symbol for Tanger Factory Outlet Centers, Inc., a publicly traded real estate investment trust specializing in outlet shopping centers.
  • A. SKT
    SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
  • B. SKT
    SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
  • C. SKT
    SKT is the stock exchange ticker symbol for Sky Network Television Limited, a major pay television and broadcasting company in New Zealand.
  • D. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • E. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18ea874819092a125d9f929a311 completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7f268688190a21d24d474c6a0c2 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08da96db5c8190a6ebcb02dac005ae completed May 16, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08db03b1008190893b27189731e134 completed May 16, 2026, 9 p.m.
Created at: April 16, 2026, 12:13 p.m.