Triple

T27280821
Position Surface form Disambiguated ID Type / Status
Subject Dillon, Texas E688324 entity
Predicate hasLocalHangout P52461 FINISHED
Object Applebee’s (franchise location in series)
Applebee’s (franchise location in series) is a casual dining restaurant chain outlet that serves as a familiar social gathering spot for characters in the fictional town of Dillon, Texas.
E1762318 NE FINISHED

How this triple was built (2 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: Applebee’s (franchise location in series) | Statement: [Dillon, Texas, hasLocalHangout, Applebee’s (franchise location in series)]
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: Applebee’s (franchise location in series)
Triple: [Dillon, Texas, hasLocalHangout, Applebee’s (franchise location in series)]
Generated description
Applebee’s (franchise location in series) is a casual dining restaurant chain outlet that serves as a familiar social gathering spot for characters in the fictional town of Dillon, Texas.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f7283fc3788190a409e1ad96655ad7 completed May 3, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a126298a0e88190a384ab730f6529c0 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126339b9188190b9db303b56ef1ab0 completed May 24, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a1263ae66e081908ccdb3a5dd5ee9b5 completed May 24, 2026, 2:34 a.m.
Created at: April 27, 2026, 11:07 a.m.