Triple

T38678432
Position Surface form Disambiguated ID Type / Status
Subject Far Eastern University E943820 entity
Predicate hasCollege P113 FINISHED
Object Institute of Tourism and Hotel Management
The Institute of Tourism and Hotel Management is a college of Far Eastern University specializing in tourism, hospitality, and hotel management education and training.
E2279538 NE FINISHED

How this triple was built (2 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: Institute of Tourism and Hotel Management | Statement: [Far Eastern University, hasCollege, Institute of Tourism and Hotel Management]
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: Institute of Tourism and Hotel Management
Triple: [Far Eastern University, hasCollege, Institute of Tourism and Hotel Management]
Generated description
The Institute of Tourism and Hotel Management is a college of Far Eastern University specializing in tourism, hospitality, and hotel management education and training.

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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdc3b93b88190a39ecec8f0a809ae completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd73532c8190adb1b4d0bb715362 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fdf07718819099648fb5261a7458 completed June 29, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a41fe64267481909cd252fcf484afaa completed June 29, 2026, 5:11 a.m.
Created at: May 3, 2026, 4:33 p.m.