Triple

T4733665
Position Surface form Disambiguated ID Type / Status
Subject Anseba E105070 entity
Predicate containsTown P847 FINISHED
Object Elabered
Elabered is a town in Eritrea’s Anseba region, known primarily for its agricultural activities and surrounding highland landscape.
E465403 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: Elabered | Statement: [Anseba, containsTown, Elabered]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elabered
Context triple: [Anseba, containsTown, Elabered]
  • A. Complicated
    "Complicated" is a high-energy, guitar-driven rock track by the band Loud, showcasing their intense sound and emotive style.
  • B. Long
    Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • C. Fancy
    "Fancy" is a hip-hop track by American producer and rapper Swizz Beatz, known for its energetic production and club-oriented sound.
  • D. Lucid
    Lucid is the surname of American biochemist and NASA astronaut Shannon Lucid, known for her long-duration spaceflights and record-setting time spent in orbit.
  • E. Enrich
    Enrich is the frequent flyer loyalty program of Malaysia Airlines, offering members points, tier status, and travel-related rewards.
  • 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: Elabered
Triple: [Anseba, containsTown, Elabered]
Generated description
Elabered is a town in Eritrea’s Anseba region, known primarily for its agricultural activities and surrounding highland landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elabered
Target entity description: Elabered is a town in Eritrea’s Anseba region, known primarily for its agricultural activities and surrounding highland landscape.
  • A. Complicated
    "Complicated" is a high-energy, guitar-driven rock track by the band Loud, showcasing their intense sound and emotive style.
  • B. Long
    Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • C. Fancy
    "Fancy" is a hip-hop track by American producer and rapper Swizz Beatz, known for its energetic production and club-oriented sound.
  • D. Lucid
    Lucid is the surname of American biochemist and NASA astronaut Shannon Lucid, known for her long-duration spaceflights and record-setting time spent in orbit.
  • E. Enrich
    Enrich is the frequent flyer loyalty program of Malaysia Airlines, offering members points, tier status, and travel-related rewards.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10acf7488190946b31f95114d459 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1502bbb4819094c27231dc6a9762 completed March 21, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69be15ba6dac8190b37130ba0a9209c3 completed March 21, 2026, 3:51 a.m.
Created at: March 20, 2026, 1:19 p.m.