Triple

T18529659
Position Surface form Disambiguated ID Type / Status
Subject Laravel Envoyer E452801 entity
Predicate name P16 FINISHED
Object Envoyer
Envoyer is a zero-downtime deployment service created by the Laravel team for seamlessly deploying PHP and Laravel applications.
 E1328977 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: Envoyer | Statement: [Laravel Envoyer, name, Envoyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Envoyer
Context triple: [Laravel Envoyer, name, Envoyer]
  • A. Sendim
    Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
  • B. Senden
    Senden is a town in the district of Neu-Ulm in Bavaria, Germany, known for its residential character and proximity to the cities of Ulm and Neu-Ulm.
  • C. Senden
    Senden is a municipality in western Germany known for its rural character and proximity to the city of Münster in the state of North Rhine-Westphalia.
  • D. ENVOY
    ENVOY is the radio callsign used by Envoy Air, a regional airline operating feeder flights for major U.S. carriers.
  • E. GoSend
    GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
  • 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: Envoyer
Triple: [Laravel Envoyer, name, Envoyer]
Generated description
Envoyer is a zero-downtime deployment service created by the Laravel team for seamlessly deploying PHP and Laravel applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Envoyer
Target entity description: Envoyer is a zero-downtime deployment service created by the Laravel team for seamlessly deploying PHP and Laravel applications.
  • A. Sendim
    Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
  • B. Senden
    Senden is a town in the district of Neu-Ulm in Bavaria, Germany, known for its residential character and proximity to the cities of Ulm and Neu-Ulm.
  • C. Senden
    Senden is a municipality in western Germany known for its rural character and proximity to the city of Münster in the state of North Rhine-Westphalia.
  • D. ENVOY
    ENVOY is the radio callsign used by Envoy Air, a regional airline operating feeder flights for major U.S. carriers.
  • E. GoSend
    GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fb940c81909d4ad9fc37f47829 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049178ea1c819085480137adfb3841 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a04921b1a508190b8bb6d6c4597ab99 completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492ba4ea08190b59510b221ad5d21 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.