Triple

T2334356
Position Surface form Disambiguated ID Type / Status
Subject Northern Arabia E44275 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Tayma
Tayma is an ancient oasis town in northwestern Saudi Arabia known for its significant archaeological remains and long history as a caravan and trade center.
 E255451 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: Tayma | Statement: [Northern Arabia, hasArchaeologicalSite, Tayma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tayma
Context triple: [Northern Arabia, hasArchaeologicalSite, Tayma]
  • A. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Tadlac
    Tadlac is a barangay in the municipality of Los Baños in Laguna province, Philippines, known for its proximity to Tadlac Lake (also called Alligator Lake).
  • D. Tribeni
    Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
  • E. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • 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: Tayma
Triple: [Northern Arabia, hasArchaeologicalSite, Tayma]
Generated description
Tayma is an ancient oasis town in northwestern Saudi Arabia known for its significant archaeological remains and long history as a caravan and trade center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tayma
Target entity description: Tayma is an ancient oasis town in northwestern Saudi Arabia known for its significant archaeological remains and long history as a caravan and trade center.
  • A. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • B. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • C. Tadlac
    Tadlac is a barangay in the municipality of Los Baños in Laguna province, Philippines, known for its proximity to Tadlac Lake (also called Alligator Lake).
  • D. Tribeni
    Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
  • E. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8979bca08190aac46ef3dc1a2be2 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a4a55c4819082b10a5995395e46 completed March 9, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ae561c081908f64fb7ca43d928e completed March 9, 2026, 8:55 a.m.
Created at: March 4, 2026, 7:51 p.m.