Triple

T29639194
Position Surface form Disambiguated ID Type / Status
Subject Pasir Mas railway station E755812 entity
Predicate isOnRoute P2127 FINISHED
Object Tumpat–Gemas railway corridor
The Tumpat–Gemas railway corridor is a major Malaysian rail line running along the east coast and interior of Peninsular Malaysia, connecting Tumpat in Kelantan to Gemas in Negeri Sembilan.
E1875779 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: Tumpat–Gemas railway corridor | Statement: [Pasir Mas railway station, isOnRoute, Tumpat–Gemas railway corridor]
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: Tumpat–Gemas railway corridor
Triple: [Pasir Mas railway station, isOnRoute, Tumpat–Gemas railway corridor]
Generated description
The Tumpat–Gemas railway corridor is a major Malaysian rail line running along the east coast and interior of Peninsular Malaysia, connecting Tumpat in Kelantan to Gemas in Negeri Sembilan.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66ecc6dcc819084f8e1be087b5402 completed May 2, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26617c5e98819098fae5b7d92441b8 completed June 8, 2026, 6:30 a.m.
NEDg Description generation batch_6a2666f5915081908538e8fbb88d0fce completed June 8, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a266862fb88819087d8a1e059a7ad42 completed June 8, 2026, 6:59 a.m.
Created at: April 28, 2026, 6:46 p.m.