Triple

T30278998

Position	Surface form	Disambiguated ID	Type / Status
Subject	Latvia–Estonia border	`E770033`	entity
Predicate	startsNearSettlement	`P22794`	FINISHED
Object	Ainaži Ainaži is a small coastal town in northern Latvia on the Gulf of Riga, historically known as a seafaring and shipbuilding center near the Estonian border.	`E1908156`	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: Ainaži | Statement: [Latvia–Estonia border, startsNearSettlement, Ainaži]

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: Ainaži
Triple: [Latvia–Estonia border, startsNearSettlement, Ainaži]

Generated description

Ainaži is a small coastal town in northern Latvia on the Gulf of Riga, historically known as a seafaring and shipbuilding center near the Estonian border.

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

Target predicate: startsNearSettlement
Context triple: [Latvia–Estonia border, startsNearSettlement, Ainaži]

A. terminusNearbySettlement
Indicates that a transportation terminus (such as a station or terminal) is located close to a particular settlement.
B. hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
C. startCity chosen
Indicates the city where a journey, route, or transportation service begins.
D. passesNearCity
Indicates that the path, route, or trajectory of one entity goes close to, but not necessarily through, a specified city.
E. nearbySettlements
Indicates that one settlement is located close to another settlement in geographic space.
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_69f224868fa8819099127eaf8855a28f`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69fec25f0fc48190b87ab1f9cd1eb0de`	completed	May 9, 2026, 5:13 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a276efa89bc819092f1f25dbf7d15fd`	completed	June 9, 2026, 1:40 a.m.
NEDg	Description generation	`batch_6a277100aec88190a76cb557ee344e29`	completed	June 9, 2026, 1:48 a.m.
NED2	Entity disambiguation (via description)	`batch_6a277181f69881908d6875221a8386e8`	completed	June 9, 2026, 1:50 a.m.
PD	Predicate disambiguation	`batch_69fec079a770819098df7cc3049df954`	completed	May 9, 2026, 5:04 a.m.

Created at: April 29, 2026, 7:45 p.m.