Triple

T4331048
Position Surface form Disambiguated ID Type / Status
Subject Wireless Emergency Alerts system E96748 entity
Predicate alsoKnownAs P39 FINISHED
Object WEA
WEA is a U.S. nationwide public safety system that delivers government-issued emergency alerts to compatible mobile devices.
 E430822 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: WEA | Statement: [Wireless Emergency Alerts system, alsoKnownAs, WEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WEA
Context triple: [Wireless Emergency Alerts system, alsoKnownAs, WEA]
  • A. WEA
    WEA is the acronym for the World Evangelical Alliance, a global network that connects and represents evangelical churches and organizations worldwide.
  • B. WEA Inc.
    WEA Inc. was the former distribution and marketing arm of Warner Music Group, handling the global release of the company’s recorded music.
  • C. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • D. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • E. WES
    WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • 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: WEA
Triple: [Wireless Emergency Alerts system, alsoKnownAs, WEA]
Generated description
WEA is a U.S. nationwide public safety system that delivers government-issued emergency alerts to compatible mobile devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WEA
Target entity description: WEA is a U.S. nationwide public safety system that delivers government-issued emergency alerts to compatible mobile devices.
  • A. WEA
    WEA is the acronym for the World Evangelical Alliance, a global network that connects and represents evangelical churches and organizations worldwide.
  • B. WEA Inc.
    WEA Inc. was the former distribution and marketing arm of Warner Music Group, handling the global release of the company’s recorded music.
  • C. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • D. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • E. WES
    WES is a commuter rail service in the Portland, Oregon metropolitan area that connects Beaverton and Wilsonville.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514c39748190900e13e70ed8848c completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09fad588190b488012b4fc6cb8c completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d1614b008190bc98fac7b1029456 completed March 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69b5d1c2f77c8190942be9d23c2c9f6b completed March 14, 2026, 9:23 p.m.
Created at: March 12, 2026, 11:13 p.m.