Triple

T30522348
Position Surface form Disambiguated ID Type / Status
Subject Veeva Systems (original headquarters) E776730 entity
Predicate associatedWithGeographicMarket P207284 FINISHED
Object United States life sciences market
The United States life sciences market is a major global hub for pharmaceutical, biotechnology, and medical device research, development, and commercialization, characterized by extensive R&D investment, stringent regulation, and a large healthcare consumer base.
 E1920270 NE FINISHED

How this triple was built (3 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: United States life sciences market | Statement: [Veeva Systems (original headquarters), associatedWithGeographicMarket, United States life sciences market]
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: United States life sciences market
Triple: [Veeva Systems (original headquarters), associatedWithGeographicMarket, United States life sciences market]
Generated description
The United States life sciences market is a major global hub for pharmaceutical, biotechnology, and medical device research, development, and commercialization, characterized by extensive R&D investment, stringent regulation, and a large healthcare consumer base.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: associatedWithGeographicMarket
Context triple: [Veeva Systems (original headquarters), associatedWithGeographicMarket, United States life sciences market]
  • A. hasGeographicConnectionTo
    Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
  • B. sharesGeographicTiesWith
    Indicates that two entities are connected through a common or related geographic area, such as shared location, region, or territorial association.
  • C. geographicAreaOfSupport
    Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
  • D. hasGeographicSpecificity
    Indicates that something is associated with or constrained to a particular geographic location or area.
  • E. regionallyAssociatedWith
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • F. None of above. chosen

Provenance (7 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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be73b1f48190b8f57b64f4e7450a completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c253a9608190ab50baafccdbb7a7 completed June 9, 2026, 7:35 a.m.
NED2 Entity disambiguation (via description) batch_6a27c2b662308190a526bf9805b8b0c6 completed June 9, 2026, 7:37 a.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7ee0388190a29faeb5cdb0950a completed May 12, 2026, 7:16 p.m.
Created at: April 29, 2026, 8:17 p.m.