Triple

T15134212
Position Surface form Disambiguated ID Type / Status
Subject Room 25 E361510 entity
Predicate publisher P29 FINISHED
Object Matagot
Matagot is a French board game publisher known for producing innovative and thematic tabletop games.
E1137944 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: Matagot | Statement: [Room 25, publisher, Matagot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matagot
Context triple: [Room 25, publisher, Matagot]
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • C. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • D. Matalam
    Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
  • E. Guindulungan
    Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
  • 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: Matagot
Triple: [Room 25, publisher, Matagot]
Generated description
Matagot is a French board game publisher known for producing innovative and thematic tabletop games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matagot
Target entity description: Matagot is a French board game publisher known for producing innovative and thematic tabletop games.
  • A. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • B. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • C. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • D. Matalam
    Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
  • E. Guindulungan
    Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7fd3c448190b4b06fdc1ab2c6a7 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb8bb774481908272929358817440 completed May 9, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69feb9384b4c81909fe80dec3abc1659 completed May 9, 2026, 4:34 a.m.
Created at: April 10, 2026, 3:06 a.m.