Triple

T9990054
Position Surface form Disambiguated ID Type / Status
Subject Dagon E196862 entity
Predicate cultCenters P9995 FINISHED
Object Beth-dagon
Beth-dagon was an ancient Near Eastern town known as a major worship center dedicated to the Philistine god Dagon.
 E834356 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: Beth-dagon | Statement: [Dagon, cultCenters, Beth-dagon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beth-dagon
Context triple: [Dagon, cultCenters, Beth-dagon]
  • A. Zorah
    Zorah was an ancient town in the territory of the Tribe of Dan, known from the Hebrew Bible as the hometown of Samson.
  • B. Bethal
    Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
  • C. Malgobek
    Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
  • D. Bethar
    Bethar was an ancient fortified town in Judea, best known as the last stronghold of the Bar Kokhba revolt against the Roman Empire.
  • E. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • 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: Beth-dagon
Triple: [Dagon, cultCenters, Beth-dagon]
Generated description
Beth-dagon was an ancient Near Eastern town known as a major worship center dedicated to the Philistine god Dagon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beth-dagon
Target entity description: Beth-dagon was an ancient Near Eastern town known as a major worship center dedicated to the Philistine god Dagon.
  • A. Zorah
    Zorah was an ancient town in the territory of the Tribe of Dan, known from the Hebrew Bible as the hometown of Samson.
  • B. Bethal
    Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
  • C. Malgobek
    Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
  • D. Bethar
    Bethar was an ancient fortified town in Judea, best known as the last stronghold of the Bar Kokhba revolt against the Roman Empire.
  • E. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258190f408190949d50badb3ec6f9 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2599e85e88190aad263e8ba169275 completed April 5, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d25a0cb08481909003b5bdab5c834b completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:50 p.m.