Triple

T9649628
Position Surface form Disambiguated ID Type / Status
Subject Biskra Province E233299 entity
Predicate hasCity P316 FINISHED
Object Tolga
Tolga is a town in northeastern Algeria known for its date palm oases and location within Biskra Province on the edge of the Sahara Desert.
 E811810 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 | Statement: [Biskra Province, hasCity, Tolga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tolga
Context triple: [Biskra Province, hasCity, Tolga]
  • A. Tolga
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • C. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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
Triple: [Biskra Province, hasCity, Tolga]
Generated description
Tolga is a town in northeastern Algeria known for its date palm oases and location within Biskra Province on the edge of the Sahara Desert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tolga
Target entity description: Tolga is a town in northeastern Algeria known for its date palm oases and location within Biskra Province on the edge of the Sahara Desert.
  • A. Tolga
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • C. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Tarchuna
    Tarchuna is the ancient Etruscan city known in Latin as Tarquinii and in modern times as Tarquinia, a major cultural and political center of Etruria in central Italy.
  • 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.