Triple

T8822490
Position Surface form Disambiguated ID Type / Status
Subject SEMICON West Award E209939 entity
Predicate presentedAt P3021 FINISHED
Object SEMICON West
SEMICON West is a major annual trade show and conference for the global microelectronics and semiconductor manufacturing industry, held in the United States.
 E758251 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: SEMICON West | Statement: [SEMICON West Award, presentedAt, SEMICON West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEMICON West
Context triple: [SEMICON West Award, presentedAt, SEMICON West]
  • A. SEMICON West Award
    The SEMICON West Award is an industry honor recognizing outstanding leadership and contributions to the global semiconductor and microelectronics manufacturing ecosystem.
  • B. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • C. CES
    CES is the IATA airport code for Cessnock Airport, a regional airport serving the Cessnock area in New South Wales, Australia.
  • D. CES
    CES is a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • E. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • 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: SEMICON West
Triple: [SEMICON West Award, presentedAt, SEMICON West]
Generated description
SEMICON West is a major annual trade show and conference for the global microelectronics and semiconductor manufacturing industry, held in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEMICON West
Target entity description: SEMICON West is a major annual trade show and conference for the global microelectronics and semiconductor manufacturing industry, held in the United States.
  • A. SEMICON West Award
    The SEMICON West Award is an industry honor recognizing outstanding leadership and contributions to the global semiconductor and microelectronics manufacturing ecosystem.
  • B. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • C. CES
    CES is the IATA airport code for Cessnock Airport, a regional airport serving the Cessnock area in New South Wales, Australia.
  • D. CES
    CES is a high-resolution astronomical spectrograph used on the ESO 3.6-metre telescope for detailed spectroscopic studies of celestial objects.
  • E. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf70c981808190856827fbcd4c4671 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf71914ec48190bd623d8d773e7ca7 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:46 p.m.