Triple

T14829151
Position Surface form Disambiguated ID Type / Status
Subject Ennore Port E348650 entity
Predicate hasUNLocode P1492 FINISHED
Object INENR
INENR is the UN/LOCODE identifier assigned to Ennore Port in India for international trade and transport logistics.
 E1122238 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: INENR | Statement: [Ennore Port, hasUNLocode, INENR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: INENR
Context triple: [Ennore Port, hasUNLocode, INENR]
  • A. INEB
    INEB is a global network that connects socially engaged Buddhists and organizations working on peace, human rights, and environmental and social justice issues.
  • B. INE
    INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
  • C. IN
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • D. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • E. IN
    IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
  • 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: INENR
Triple: [Ennore Port, hasUNLocode, INENR]
Generated description
INENR is the UN/LOCODE identifier assigned to Ennore Port in India for international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: INENR
Target entity description: INENR is the UN/LOCODE identifier assigned to Ennore Port in India for international trade and transport logistics.
  • A. INEB
    INEB is a global network that connects socially engaged Buddhists and organizations working on peace, human rights, and environmental and social justice issues.
  • B. INE
    INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
  • C. IN
    IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
  • D. IN
    IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
  • E. IN
    IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe502938dc8190892373403077cfdd completed May 8, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe509a02c08190bd2171b16584cd64 completed May 8, 2026, 9:07 p.m.
Created at: April 10, 2026, 1:51 a.m.