Triple

T9649645
Position Surface form Disambiguated ID Type / Status
Subject Biskra Province E233299 entity
Predicate knownFor P22 FINISHED
Object Tolga dates
Tolga dates are a renowned variety of high-quality Algerian dates prized for their exceptional sweetness and soft, caramel-like texture.
 E811814 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: Tolga dates | Statement: [Biskra Province, knownFor, Tolga dates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tolga dates
Context triple: [Biskra Province, knownFor, Tolga dates]
  • A. Tolga
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. TOL
    TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
  • C. TOL
    TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
  • D. תּוֹלָע
    תּוֹלָע is the Hebrew name of Tola, a minor judge of Israel mentioned in the biblical Book of Judges.
  • E. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • 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: Tolga dates
Triple: [Biskra Province, knownFor, Tolga dates]
Generated description
Tolga dates are a renowned variety of high-quality Algerian dates prized for their exceptional sweetness and soft, caramel-like texture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tolga dates
Target entity description: Tolga dates are a renowned variety of high-quality Algerian dates prized for their exceptional sweetness and soft, caramel-like texture.
  • A. Tolga
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. TOL
    TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
  • C. TOL
    TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
  • D. תּוֹלָע
    תּוֹלָע is the Hebrew name of Tola, a minor judge of Israel mentioned in the biblical Book of Judges.
  • E. Toles
    Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18262dc50819089cfc17c770a1a90 completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d183452244819080de72fda8e14e67 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d183d506b881909375aadaaa616386 completed April 4, 2026, 9:34 p.m.
Created at: March 30, 2026, 8:13 p.m.