Triple

T17791339
Position Surface form Disambiguated ID Type / Status
Subject Tel Qeiyafa E444167 entity
Predicate proposedIdentification P61935 FINISHED
Object Netaim
Netaim is a biblical town mentioned in the Hebrew Bible, traditionally associated with the region of Judah and sometimes linked by scholars to archaeological sites such as Tel Qeiyafa.
 E1287944 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: Netaim | Statement: [Tel Qeiyafa, proposedIdentification, Netaim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netaim
Context triple: [Tel Qeiyafa, proposedIdentification, Netaim]
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • D. Nehase
    Nehase is the twelfth month of the Ethiopian calendar, corresponding roughly to August in the Gregorian calendar.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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: Netaim
Triple: [Tel Qeiyafa, proposedIdentification, Netaim]
Generated description
Netaim is a biblical town mentioned in the Hebrew Bible, traditionally associated with the region of Judah and sometimes linked by scholars to archaeological sites such as Tel Qeiyafa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Netaim
Target entity description: Netaim is a biblical town mentioned in the Hebrew Bible, traditionally associated with the region of Judah and sometimes linked by scholars to archaeological sites such as Tel Qeiyafa.
  • A. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • D. Nehase
    Nehase is the twelfth month of the Ethiopian calendar, corresponding roughly to August in the Gregorian calendar.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48797408081908c48d98e1525ae87 completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83ab48c81909e42e1ed75efed29 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f9af5dd08190896786ca9f8eb69f completed May 12, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a02fa28ac0881909d9d4273ea576273 completed May 12, 2026, 10 a.m.
Created at: April 10, 2026, 10:13 a.m.