Triple

T4249461
Position Surface form Disambiguated ID Type / Status
Subject Nagold E95811 entity
Predicate tributaryOf P415 FINISHED
Object Enz E88874 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: Enz | Statement: [Nagold, tributaryOf, Enz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enz
Context triple: [Nagold, tributaryOf, Enz]
  • A. Enz chosen
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • B. ENJA
    ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • E. Enejelar
    Enejelar is a small settlement located on Ailuk Atoll in the Marshall Islands, likely serving as one of the atoll’s residential communities.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9df10881908a2f039773f8afaa completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b780e0dc81909e63ac4ca1dd0a76 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.