Triple

T3858084
Position Surface form Disambiguated ID Type / Status
Subject Debub E90066 entity
Predicate hasHistoricalSite P1098 FINISHED
Object Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
 E392887 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: Metera | Statement: [Debub, hasHistoricalSite, Metera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metera
Context triple: [Debub, hasHistoricalSite, Metera]
  • A. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • B. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • E. Mitra
    Mitra is a Vedic deity associated with friendship, contracts, and the maintenance of cosmic order, prominently revered in ancient Indo-Iranian religion.
  • 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: Metera
Triple: [Debub, hasHistoricalSite, Metera]
Generated description
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metera
Target entity description: Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
  • A. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • B. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • E. Mitra
    Mitra is a Vedic deity associated with friendship, contracts, and the maintenance of cosmic order, prominently revered in ancient Indo-Iranian religion.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1e68f88190941c39221486f6ae completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504228220819082e11b316ba79b08 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b505420de0819086dee340f34a8886 completed March 14, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69b5064192a48190a0f95dee872437e0 completed March 14, 2026, 6:54 a.m.
Created at: March 9, 2026, 3:19 p.m.