Triple

T3240556
Position Surface form Disambiguated ID Type / Status
Subject Forte de São Sebastião de Castro Marim E67954 entity
Predicate nearbySettlement P350 FINISHED
Object Ayamonte E315623 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: Ayamonte | Statement: [Forte de São Sebastião de Castro Marim, nearbySettlement, Ayamonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayamonte
Context triple: [Forte de São Sebastião de Castro Marim, nearbySettlement, Ayamonte]
  • A. Ayamonte chosen
    Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
  • B. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • C. Torredelcampo
    Torredelcampo is a municipality in southern Spain’s Andalusia region, situated near the city of Jaén and known for its olive groves and agricultural economy.
  • D. Badajoz
    Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
  • E. Cullera
    Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef6430081909084589f6eea5c7e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c6da6620819099f537bd8aded2bf completed March 14, 2026, 8:36 p.m.
Created at: March 8, 2026, 3:08 p.m.