Triple

T3029961
Position Surface form Disambiguated ID Type / Status
Subject Al Wakrah E82869 entity
Predicate nearbyCity P350 FINISHED
Object Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
E319978 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: Mesaieed | Statement: [Al Wakrah, nearbyCity, Mesaieed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mesaieed
Context triple: [Al Wakrah, nearbyCity, Mesaieed]
  • A. Al Khurmah
    Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
  • B. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • C. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Skhirat
    Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
  • 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: Mesaieed
Triple: [Al Wakrah, nearbyCity, Mesaieed]
Generated description
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mesaieed
Target entity description: Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
  • A. Al Khurmah
    Al Khurmah is a town in western Saudi Arabia situated within the Makkah Province.
  • B. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • C. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Skhirat
    Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aecd384819085d15f701add7c44 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deb9c9548190b3d36803432b84f6 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df4acf2881908e969fe0512721bc completed March 11, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69b1dff55d5881909b14239a4232e617 completed March 11, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:01 p.m.