Triple

T7637843
Position Surface form Disambiguated ID Type / Status
Subject Haliç E172925 entity
Predicate alsoKnownAs P39 FINISHED
Object Altın Boynuz E172926 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: Altın Boynuz | Statement: [Haliç, alsoKnownAs, Altın Boynuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altın Boynuz
Context triple: [Haliç, alsoKnownAs, Altın Boynuz]
  • A. Altın Boynuz chosen
    Altın Boynuz is the Turkish name for the Golden Horn, the historic estuary that forms a natural harbor and separates the old and new parts of Istanbul.
  • B. Altınekin
    Altınekin is a rural district and town in central Turkey known for its agricultural economy within the Konya region.
  • C. the golden one
    "The golden one" refers to El Dorado, a legendary figure or city in South American lore believed to be fabulously rich in gold and treasures.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fac953e08190a2f50bf783c49faf completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c7b2bc8190948bc2904b278062 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.