Triple

T669953
Position Surface form Disambiguated ID Type / Status
Subject German Archaeological Institute E12948 entity
Predicate hasOffice P1268 FINISHED
Object Amman E15311 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: Amman | Statement: [German Archaeological Institute, hasOffice, Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amman
Context triple: [German Archaeological Institute, hasOffice, Amman]
  • A. Amman chosen
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • B. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • C. Aleppo
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • D. Kuwait City
    Kuwait City is the capital and largest city of Kuwait, serving as a major political, economic, and cultural center on the Persian Gulf.
  • E. Damascus
    Damascus is the capital and one of the largest cities of Syria, renowned as one of the oldest continuously inhabited cities in the world and a historic cultural and commercial center of the Arab world.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffd2b508190ac5adc04163e360f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d625608190814bec3b412c86d7 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:36 p.m.