Triple

T24269077
Position Surface form Disambiguated ID Type / Status
Subject Raja Haji Fisabilillah International Airport E605225 entity
Predicate formerlyKnownAs P65 FINISHED
Object Kijang Airport
Kijang Airport is the former name of Raja Haji Fisabilillah International Airport, a key airport serving Tanjung Pinang on Bintan Island in Indonesia’s Riau Islands province.
E1630240 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: Kijang Airport | Statement: [Raja Haji Fisabilillah International Airport, formerlyKnownAs, Kijang Airport]
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: Kijang Airport
Triple: [Raja Haji Fisabilillah International Airport, formerlyKnownAs, Kijang Airport]
Generated description
Kijang Airport is the former name of Raja Haji Fisabilillah International Airport, a key airport serving Tanjung Pinang on Bintan Island in Indonesia’s Riau Islands province.

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_69e2954707dc8190915551eb114cfff6 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28d5736a08190a1f958ebf18302f9 completed April 29, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd648dd488190ba40ce2268fa1b7c completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd7124c4481908d899a9292f534e9 completed May 22, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd7c16e788190a760642a991c421e completed May 22, 2026, 4:12 a.m.
Created at: April 18, 2026, 12:07 a.m.