Triple

T9662670
Position Surface form Disambiguated ID Type / Status
Subject Tel Dan E233625 entity
Predicate identifiedWith P13264 FINISHED
Object Laish
Laish was an ancient Canaanite city in northern Israel later conquered and renamed Dan by the Israelite tribe of Dan.
 E813910 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: Laish | Statement: [Tel Dan, identifiedWith, Laish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laish
Context triple: [Tel Dan, identifiedWith, Laish]
  • A. Guilaki
    Guilaki is an alternative name for the Gilaki language spoken by the Gilak people of northern Iran, primarily in the Gilan province along the Caspian Sea.
  • B. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • C. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • D. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • E. Lahab
    Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • 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: Laish
Triple: [Tel Dan, identifiedWith, Laish]
Generated description
Laish was an ancient Canaanite city in northern Israel later conquered and renamed Dan by the Israelite tribe of Dan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laish
Target entity description: Laish was an ancient Canaanite city in northern Israel later conquered and renamed Dan by the Israelite tribe of Dan.
  • A. Guilaki
    Guilaki is an alternative name for the Gilaki language spoken by the Gilak people of northern Iran, primarily in the Gilan province along the Caspian Sea.
  • B. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • C. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • D. Kishar
    Kishar is a primordial Mesopotamian earth goddess associated with the horizon and paired with the sky god Anshar in ancient creation myths.
  • E. Lahab
    Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0b7728819099473f404382b26a completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a1422348190967943b0d4da8efd completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18b66e79881909228aa3e1e34af26 completed April 4, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d18bbfb1808190bd7f7ff4326af72c completed April 4, 2026, 10:07 p.m.
Created at: March 30, 2026, 8:14 p.m.