Triple

T6890216
Position Surface form Disambiguated ID Type / Status
Subject IPB University E159025 entity
Predicate shortName P43 FINISHED
Object IPB
IPB is the commonly used abbreviation for IPB University, a leading agricultural and life sciences university in Indonesia.
 E628194 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: IPB | Statement: [IPB University, shortName, IPB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IPB
Context triple: [IPB University, shortName, IPB]
  • A. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • B. IPS
    IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
  • C. IPS
    IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
  • D. IPS
    IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
  • E. IPER
    IPER is an international patent examination report that provides a non-binding opinion on the novelty, inventive step, and industrial applicability of an invention under the Patent Cooperation Treaty (PCT).
  • 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: IPB
Triple: [IPB University, shortName, IPB]
Generated description
IPB is the commonly used abbreviation for IPB University, a leading agricultural and life sciences university in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IPB
Target entity description: IPB is the commonly used abbreviation for IPB University, a leading agricultural and life sciences university in Indonesia.
  • A. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • B. IPS
    IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
  • C. IPS
    IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
  • D. IPS
    IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
  • E. IPER
    IPER is an international patent examination report that provides a non-binding opinion on the novelty, inventive step, and industrial applicability of an invention under the Patent Cooperation Treaty (PCT).
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92d45f08190a730b3842c95b521 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748d16e5c81909e35db99af5cfa51 completed March 28, 2026, 3:19 a.m.
NEDg Description generation batch_69c74c9297b8819087e92ff2f8e94e27 completed March 28, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69c74d6b34948190985154abf9205a0a completed March 28, 2026, 3:39 a.m.
Created at: March 27, 2026, 2:23 p.m.