Triple

T9854972
Position Surface form Disambiguated ID Type / Status
Subject Zimmer Holdings E239559 entity
Predicate tickerSymbol P1447 FINISHED
Object ZMH
ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
 E824265 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: ZMH | Statement: [Zimmer Holdings, tickerSymbol, ZMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZMH
Context triple: [Zimmer Holdings, tickerSymbol, ZMH]
  • A. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • B. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • C. ZMW
    ZMW is the currency code for the Zambian kwacha, the official legal tender of Zambia.
  • D. ZAH
    ZAH is the IATA airport code for Zahedan International Airport in Zahedan, Iran.
  • E. MZ
    MZ is the vehicle registration code for the Mainz region in Germany, which includes Ingelheim am Rhein.
  • 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: ZMH
Triple: [Zimmer Holdings, tickerSymbol, ZMH]
Generated description
ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZMH
Target entity description: ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • A. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • B. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • C. ZMW
    ZMW is the currency code for the Zambian kwacha, the official legal tender of Zambia.
  • D. ZAH
    ZAH is the IATA airport code for Zahedan International Airport in Zahedan, Iran.
  • E. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f5b6148190bcccebd0aefb4bc9 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6917f0081908b2c82a826873faf completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d73452b48190ac3a0d6498a9a641 completed April 5, 2026, 3:29 a.m.
Created at: March 30, 2026, 8:34 p.m.