Triple

T1836431
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate contains P35 FINISHED
Object Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
 E205236 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: Dawadmi | Statement: [Riyadh Province, contains, Dawadmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawadmi
Context triple: [Riyadh Province, contains, Dawadmi]
  • A. Dimalik
    Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
  • B. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • C. Raddai
    Raddai is a lesser-known biblical figure mentioned in the Old Testament as one of the sons in Jesse’s family line connected to King David.
  • D. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • E. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • 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: Dawadmi
Triple: [Riyadh Province, contains, Dawadmi]
Generated description
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dawadmi
Target entity description: Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • A. Dimalik
    Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
  • B. Wadomari
    Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
  • C. Raddai
    Raddai is a lesser-known biblical figure mentioned in the Old Testament as one of the sons in Jesse’s family line connected to King David.
  • D. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • E. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.