Triple

T5749381
Position Surface form Disambiguated ID Type / Status
Subject Caserta E126810 entity
Predicate UNLOCODE P1800 FINISHED
Object ITCST
ITCST is the UN/LOCODE identifier for the city of Caserta in Italy, used in international trade and transport documentation.
 E543553 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: ITCST | Statement: [Caserta, UNLOCODE, ITCST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ITCST
Context triple: [Caserta, UNLOCODE, ITCST]
  • A. CTIIC
    CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
  • B. CICTE
    CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
  • C. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • D. ICCTA
    ICCTA is a 1995 U.S. federal law that abolished the Interstate Commerce Commission and significantly restructured federal regulation of surface transportation, particularly railroads.
  • E. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • 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: ITCST
Triple: [Caserta, UNLOCODE, ITCST]
Generated description
ITCST is the UN/LOCODE identifier for the city of Caserta in Italy, used in international trade and transport documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ITCST
Target entity description: ITCST is the UN/LOCODE identifier for the city of Caserta in Italy, used in international trade and transport documentation.
  • A. CTIIC
    CTIIC is a U.S. government center responsible for integrating, analyzing, and coordinating cyber threat intelligence across federal agencies.
  • B. CICTE
    CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
  • C. ICTS
    ICTS is a type of automated, medium-capacity urban transit technology used for rapid, driverless passenger transport in cities.
  • D. ICCTA
    ICCTA is a 1995 U.S. federal law that abolished the Interstate Commerce Commission and significantly restructured federal regulation of surface transportation, particularly railroads.
  • E. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e358d908190a37e5df89df3aedc completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c089020764819090a1927c65f9e870 completed March 23, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0897b75e481909adc413fa73e9496 completed March 23, 2026, 12:29 a.m.
Created at: March 22, 2026, 3:48 p.m.