Triple

T11128328
Position Surface form Disambiguated ID Type / Status
Subject Port of Sines E263205 entity
Predicate hasUNLocode P1492 FINISHED
Object PTSIE
PTSIE is the UN/LOCODE identifier for the Port of Sines, a major deep-water maritime port and logistics hub on Portugal’s southwest coast.
 E905772 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: PTSIE | Statement: [Port of Sines, hasUNLocode, PTSIE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PTSIE
Context triple: [Port of Sines, hasUNLocode, PTSIE]
  • A. SNIEC
    SNIEC is a major modern exhibition and convention center located in Shanghai, China, hosting large-scale trade fairs, conferences, and events.
  • B. IES
    IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
  • C. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • D. CSIEA
    CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • E. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • 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: PTSIE
Triple: [Port of Sines, hasUNLocode, PTSIE]
Generated description
PTSIE is the UN/LOCODE identifier for the Port of Sines, a major deep-water maritime port and logistics hub on Portugal’s southwest coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PTSIE
Target entity description: PTSIE is the UN/LOCODE identifier for the Port of Sines, a major deep-water maritime port and logistics hub on Portugal’s southwest coast.
  • A. SNIEC
    SNIEC is a major modern exhibition and convention center located in Shanghai, China, hosting large-scale trade fairs, conferences, and events.
  • B. IES
    IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
  • C. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • D. CSIEA
    CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • E. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e830e804819097fcc3826d84dab8 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8b3ce4819082f9efcf8dec4f1a completed April 19, 2026, 1:19 a.m.
NEDg Description generation batch_69e42f3eaa0c819095e5af20b910d979 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4377d20ac8190b0bb810d4159ac4d completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:28 p.m.