Triple

T2707747
Position Surface form Disambiguated ID Type / Status
Subject Mount Lebanon E59382 entity
Predicate majorCity P316 FINISHED
Object Aley
Aley is a prominent resort and residential city in Lebanon’s Mount Lebanon region, known for its cool climate, tourism, and historic role as a summer retreat.
 E290891 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: Aley | Statement: [Mount Lebanon, majorCity, Aley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aley
Context triple: [Mount Lebanon, majorCity, Aley]
  • A. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • B. Jabala
    Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
  • C. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • D. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • E. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • 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: Aley
Triple: [Mount Lebanon, majorCity, Aley]
Generated description
Aley is a prominent resort and residential city in Lebanon’s Mount Lebanon region, known for its cool climate, tourism, and historic role as a summer retreat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aley
Target entity description: Aley is a prominent resort and residential city in Lebanon’s Mount Lebanon region, known for its cool climate, tourism, and historic role as a summer retreat.
  • A. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • B. Jabala
    Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
  • C. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • D. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • E. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda73de1c81908f5d6b0383e23144 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf7f99508190acfd00baec64b7e9 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb02d8ff08190af2224c03b762c68 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.