Triple

T4611206
Position Surface form Disambiguated ID Type / Status
Subject Akko E100560 entity
Predicate alternateName P39 FINISHED
Object ʿAkko E466417 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: ʿAkko | Statement: [Akko, alternateName, ʿAkko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ʿAkko
Context triple: [Akko, alternateName, ʿAkko]
  • A. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • B. Ashdod
    Ashdod is a major coastal city in southern Israel that serves as an important cultural and religious hub, including for the Karaite Jewish community.
  • C. Haifa
    Haifa is a major Israeli city on the Mediterranean coast, known for its significant port, mixed Jewish-Arab population, and the terraced Baháʼí Gardens on Mount Carmel.
  • D. Port of Akko chosen
    The Port of Akko is an ancient Mediterranean harbor in present-day Israel that historically served as a major commercial and strategic gateway for maritime trade and military campaigns in the Levant.
  • E. Beit Lahia
    Beit Lahia is a town in the northern Gaza Strip known for its agricultural lands and proximity to several major refugee camps.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d6d97fc819095d585ade9de201d completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:12 p.m.