Triple

T14138097
Position Surface form Disambiguated ID Type / Status
Subject Port of Algeciras E350351 entity
Predicate UNLocode P1800 FINISHED
Object ESALG
ESALG is the UN/LOCODE identifier for the Port of Algeciras, a major Spanish seaport and key maritime hub near the Strait of Gibraltar.
 E1082428 NE FINISHED

How this triple was built (4 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: ESALG | Statement: [Port of Algeciras, UNLocode, ESALG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESALG
Context triple: [Port of Algeciras, UNLocode, ESALG]
  • A. ESALQ
    ESALQ is a renowned Brazilian agricultural sciences college of the University of São Paulo, recognized for its research and education in agronomy and related fields.
  • B. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • C. UAlg
    UAlg is a Portuguese public university located in the Algarve region, known for its programs in marine sciences, tourism, and regional development.
  • D. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • E. AELM
    AELM is the commonly used abbreviation for the APEC Economic Leaders' Meeting, an annual summit where leaders of Asia-Pacific economies discuss regional economic cooperation and policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ESALG
Triple: [Port of Algeciras, UNLocode, ESALG]
Generated description
ESALG is the UN/LOCODE identifier for the Port of Algeciras, a major Spanish seaport and key maritime hub near the Strait of Gibraltar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESALG
Target entity description: ESALG is the UN/LOCODE identifier for the Port of Algeciras, a major Spanish seaport and key maritime hub near the Strait of Gibraltar.
  • A. ESALQ
    ESALQ is a renowned Brazilian agricultural sciences college of the University of São Paulo, recognized for its research and education in agronomy and related fields.
  • B. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • C. UAlg
    UAlg is a Portuguese public university located in the Algarve region, known for its programs in marine sciences, tourism, and regional development.
  • D. ES-LE
    ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
  • E. AELM
    AELM is the commonly used abbreviation for the APEC Economic Leaders' Meeting, an annual summit where leaders of Asia-Pacific economies discuss regional economic cooperation and policy.
  • F. None of above. chosen

Provenance (5 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce89cf5b08190a2a610f49a4b6f90 completed May 7, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69fce984be2881909b38e3d9e4fac243 completed May 7, 2026, 7:35 p.m.
Created at: April 10, 2026, 12:39 a.m.