Triple

T8574118
Position Surface form Disambiguated ID Type / Status
Subject Celanese Corporation E203002 entity
Predicate tickerSymbol P1447 FINISHED
Object CE
CE is the stock ticker symbol for Celanese Corporation, a global chemical and specialty materials company traded on the New York Stock Exchange.
 E742562 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: CE | Statement: [Celanese Corporation, tickerSymbol, CE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CE
Context triple: [Celanese Corporation, tickerSymbol, CE]
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • C. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • D. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • E. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • 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: CE
Triple: [Celanese Corporation, tickerSymbol, CE]
Generated description
CE is the stock ticker symbol for Celanese Corporation, a global chemical and specialty materials company traded on the New York Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CE
Target entity description: CE is the stock ticker symbol for Celanese Corporation, a global chemical and specialty materials company traded on the New York Stock Exchange.
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. CE
    CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • C. CE
    CE is the standard abbreviation for the Catholic Encyclopedia, a comprehensive reference work on Catholic doctrine, history, and practice.
  • D. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • E. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8995d1d081909f6a27220c2c267e completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8a9df47c81909ba9ef8dff1db7b1 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8b48841c8190bcf11aeb25355649 completed April 2, 2026, 3:29 p.m.
Created at: March 30, 2026, 6:21 p.m.