Triple

T7863380
Position Surface form Disambiguated ID Type / Status
Subject Saeb Erekat E182554 entity
Predicate familyName P18 FINISHED
Object Erekat
Erekat is a Palestinian family name most prominently associated with Saeb Erekat, a leading Palestinian diplomat and negotiator.
 E697671 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: Erekat | Statement: [Saeb Erekat, familyName, Erekat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erekat
Context triple: [Saeb Erekat, familyName, Erekat]
  • A. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • B. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • C. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • D. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • E. Baraawe
    Baraawe is a historic coastal city in southern Somalia known as a key port and cultural center along the Indian Ocean.
  • 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: Erekat
Triple: [Saeb Erekat, familyName, Erekat]
Generated description
Erekat is a Palestinian family name most prominently associated with Saeb Erekat, a leading Palestinian diplomat and negotiator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erekat
Target entity description: Erekat is a Palestinian family name most prominently associated with Saeb Erekat, a leading Palestinian diplomat and negotiator.
  • A. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • B. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • C. Shuafat
    Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
  • D. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • E. Baraawe
    Baraawe is a historic coastal city in southern Somalia known as a key port and cultural center along the Indian Ocean.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36bfd8a4819093c2ef6d47891a68 completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb5f1daac88190a162132bbd40fdc6 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb768ac1a48190bc6a59a64adf7144 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:54 p.m.