Triple

T3081548
Position Surface form Disambiguated ID Type / Status
Subject Qurnat as Sawda E64268 entity
Predicate highestPointOf P1674 FINISHED
Object Lebanon E10701 NE FINISHED

How this triple was built (2 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: Lebanon | Statement: [Qurnat as Sawda, highestPointOf, Lebanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon
Context triple: [Qurnat as Sawda, highestPointOf, Lebanon]
  • A. Lebanon chosen
    Lebanon is a small Middle Eastern country on the eastern shore of the Mediterranean Sea, known for its rich history, diverse religious and cultural heritage, and historic capital, Beirut.
  • B. Tunisia
    Tunisia is a North African country on the Mediterranean coast, known for its strategic location, ancient Carthaginian and Roman heritage, and role as a key battleground in World War II.
  • C. Nabatieh, Lebanon
    Nabatieh is a predominantly Shia Muslim city in southern Lebanon known as a regional political and commercial center and for its major Ashura commemorations.
  • D. Circle of Lebanon
    Circle of Lebanon is a distinctive ring of Victorian-era catacombs built around a historic cedar tree in Highgate Cemetery in London.
  • E. Syria
    Syria is a country in the Eastern Mediterranean region of Western Asia, known for its ancient civilizations, diverse cultural heritage, and protracted civil war since 2011.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2035c404881908635c8514c8c1399 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.