Triple

T18737512
Position Surface form Disambiguated ID Type / Status
Subject Baha Tevfik E458203 entity
Predicate givenName P17 FINISHED
Object Baha
Baha is a masculine given name used in Turkish and some other cultures, often derived from Arabic roots meaning "splendor" or "magnificence."
 E1340880 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: Baha | Statement: [Baha Tevfik, givenName, Baha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baha
Context triple: [Baha Tevfik, givenName, Baha]
  • A. Baha
    Baha is a major springtime flower festival of the Santhal community, marked by nature worship, traditional songs, and communal dancing.
  • B. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • C. Barhaj
    Barhaj is a town and legislative assembly constituency in Uttar Pradesh, India, that forms part of the Salempur Lok Sabha parliamentary seat.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Baidoa
    Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
  • 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: Baha
Triple: [Baha Tevfik, givenName, Baha]
Generated description
Baha is a masculine given name used in Turkish and some other cultures, often derived from Arabic roots meaning "splendor" or "magnificence."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baha
Target entity description: Baha is a masculine given name used in Turkish and some other cultures, often derived from Arabic roots meaning "splendor" or "magnificence."
  • A. Baha
    Baha is a major springtime flower festival of the Santhal community, marked by nature worship, traditional songs, and communal dancing.
  • B. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • C. Barhaj
    Barhaj is a town and legislative assembly constituency in Uttar Pradesh, India, that forms part of the Salempur Lok Sabha parliamentary seat.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Baidoa
    Baidoa is a major city in southwestern Somalia that serves as an important political, economic, and transportation hub for the surrounding region.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053261c074819081acb03dd7f8f62a completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05369aa0488190b05cb5d1204db6d3 completed May 14, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a053766f7b48190b3b01ee99b22f57d completed May 14, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:51 a.m.