Triple

T38493056

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lobatse–Ramatlabama line	`E918106`	entity
Predicate	hasInlandStation	`P201282`	FINISHED
Object	Lobatse railway station Lobatse railway station is a key railway stop in Lobatse, Botswana, serving passenger and freight traffic on the main line toward the South African border.	`E2272973`	NE FINISHED

How this triple was built (3 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: Lobatse railway station | Statement: [Lobatse–Ramatlabama line, hasInlandStation, Lobatse railway station]

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: Lobatse railway station
Triple: [Lobatse–Ramatlabama line, hasInlandStation, Lobatse railway station]

Generated description

Lobatse railway station is a key railway stop in Lobatse, Botswana, serving passenger and freight traffic on the main line toward the South African border.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasInlandStation
Context triple: [Lobatse–Ramatlabama line, hasInlandStation, Lobatse railway station]

A. hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
B. hasStationAlong chosen
Indicates that a route, line, or path includes a particular station located somewhere along its course.
C. hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
D. isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
E. hasInlandCity
Indicates that one entity has, contains, or is associated with a city located inland (away from the coast or major bodies of water).
F. None of above.

Provenance (6 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_69f76e9894208190a129a553a60ca58c`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a016777257081908841c5522dfa76e6`	completed	May 11, 2026, 5:21 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41d64f550c8190849cad9c4402b4e9`	completed	June 29, 2026, 2:19 a.m.
NEDg	Description generation	`batch_6a41d7cbe4f881908d9f904deda7bb65`	completed	June 29, 2026, 2:26 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41d8484f88819089d64001a831ab40`	completed	June 29, 2026, 2:28 a.m.
PD	Predicate disambiguation	`batch_6a0164e49bec8190af3c8626be9677a9`	completed	May 11, 2026, 5:11 a.m.

Created at: May 3, 2026, 4:31 p.m.