Triple

T1968174
Position Surface form Disambiguated ID Type / Status
Subject Gender Development Index E42736 entity
Predicate abbreviation P43 FINISHED
Object GDI
GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
 E220055 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: GDI | Statement: [Gender Development Index, abbreviation, GDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GDI
Context triple: [Gender Development Index, abbreviation, GDI]
  • A. Gdi32
    Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
  • B. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • C. GKS
    GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
  • D. CGA
    CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
  • E. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • 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: GDI
Triple: [Gender Development Index, abbreviation, GDI]
Generated description
GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GDI
Target entity description: GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
  • A. Gdi32
    Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
  • B. DIB
    DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
  • C. GKS
    GKS is a Polish vehicle registration code assigned to the Słupsk area in the Pomeranian Voivodeship.
  • D. CGA
    CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
  • E. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d05cb88190963039d643bb6637 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd777608190b86d6edc68ff5d9b completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc81697c8190b0dd847649f28923 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfdc8a7f481909b2ee0b4444cf4b9 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.