Triple

T15928710
Position Surface form Disambiguated ID Type / Status
Subject Ajax E386269 entity
Predicate nickName P2937 FINISHED
Object de Ajacieden
de Ajacieden is a Dutch nickname referring to the players and supporters of AFC Ajax, the famous football club from Amsterdam.
E1184913 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: de Ajacieden | Statement: [Ajax, nickName, de Ajacieden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Ajacieden
Context triple: [Ajax, nickName, de Ajacieden]
  • A. Ajac
    Ajac is a small commune in the Aude department of southern France, situated in the historic Languedoc region.
  • B. Jacou
    Jacou is a suburban commune in southern France, located near Montpellier and served as a terminus by the Montpellier tramway.
  • C. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • D. Ajuterique
    Ajuterique is a small town and municipality located in the Comayagua Department of central Honduras.
  • E. de Chomedey
    de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
  • 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: de Ajacieden
Triple: [Ajax, nickName, de Ajacieden]
Generated description
de Ajacieden is a Dutch nickname referring to the players and supporters of AFC Ajax, the famous football club from Amsterdam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Ajacieden
Target entity description: de Ajacieden is a Dutch nickname referring to the players and supporters of AFC Ajax, the famous football club from Amsterdam.
  • A. Ajac
    Ajac is a small commune in the Aude department of southern France, situated in the historic Languedoc region.
  • B. Jacou
    Jacou is a suburban commune in southern France, located near Montpellier and served as a terminus by the Montpellier tramway.
  • C. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • D. Ajuterique
    Ajuterique is a small town and municipality located in the Comayagua Department of central Honduras.
  • E. de Chomedey
    de Chomedey is the family name of Paul de Chomedey, Sieur de Maisonneuve, the French military officer and founder of Montreal.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a39abc8190927818f6e185033a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b0833081909668c042234b5b75 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6a526188190be80658fb23cacbd completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb71cea948190a1c5998654aee8d5 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:52 a.m.