Triple

T11040979
Position Surface form Disambiguated ID Type / Status
Subject Adigrat E261013 entity
Predicate hasHospital P105 FINISHED
Object Adigrat Hospital
Adigrat Hospital is a key public healthcare facility serving the population of Adigrat and the surrounding Tigray region in northern Ethiopia.
 E261013 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: Adigrat Hospital | Statement: [Adigrat, hasHospital, Adigrat Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adigrat Hospital
Context triple: [Adigrat, hasHospital, Adigrat Hospital]
  • A. Adigrat
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • B. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • C. Grand Serail
    The Grand Serail is the historic Ottoman-era government palace in central Beirut that serves as the headquarters of the Prime Minister of Lebanon.
  • D. Dar El Salam
    Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • E. Dar El-Salam
    Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
  • 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: Adigrat Hospital
Triple: [Adigrat, hasHospital, Adigrat Hospital]
Generated description
Adigrat Hospital is a key public healthcare facility serving the population of Adigrat and the surrounding Tigray region in northern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adigrat Hospital
Target entity description: Adigrat Hospital is a key public healthcare facility serving the population of Adigrat and the surrounding Tigray region in northern Ethiopia.
  • A. Adigrat chosen
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • B. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • C. Grand Serail
    The Grand Serail is the historic Ottoman-era government palace in central Beirut that serves as the headquarters of the Prime Minister of Lebanon.
  • D. Dar El Salam
    Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • E. Dar El-Salam
    Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
  • F. None of above.

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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980050948190ae7b187da5b776ca completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9e525508190bf3a728683eeec79 completed April 18, 2026, 3:57 p.m.
NEDg Description generation batch_69e3ad024ee88190948d5d1c327fd063 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.