Triple

T24804865

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lindau lighthouse	`E620630`	entity
Predicate	locatedAtWaterBody	`P1714`	FINISHED
Object	Obersee (eastern part of Lake Constance) Obersee is the eastern basin of Lake Constance, a major Central European lake shared by Germany, Austria, and Switzerland.	`E1654719`	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: Obersee (eastern part of Lake Constance) | Statement: [Lindau lighthouse, locatedAtWaterBody, Obersee (eastern part of Lake Constance)]

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: Obersee (eastern part of Lake Constance)
Triple: [Lindau lighthouse, locatedAtWaterBody, Obersee (eastern part of Lake Constance)]

Generated description

Obersee is the eastern basin of Lake Constance, a major Central European lake shared by Germany, Austria, and Switzerland.

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

Target predicate: locatedAtWaterBody
Context triple: [Lindau lighthouse, locatedAtWaterBody, Obersee (eastern part of Lake Constance)]

A. locatedOnWaterbody
Indicates that an entity is situated on or directly adjacent to a specified body of water.
B. locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
C. locatedInBodyOfWater chosen
Indicates that an entity is situated within or on the surface of a specific body of water.
D. involvesBodyOfWater
Indicates that the relationship or event includes, affects, or takes place in connection with a body of water such as a sea, lake, river, or ocean.
E. hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
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_69e2fabf26bc8190b191faac8f67065b`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f627aedf548190bc9f53c8a2d67b50`	completed	May 2, 2026, 4:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a101c362434819088f7ca3399bbb14f`	completed	May 22, 2026, 9:04 a.m.
NEDg	Description generation	`batch_6a1028143b4c8190b89ad73aecb56e0d`	completed	May 22, 2026, 9:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1029a084708190a87c7d2add8f4688`	completed	May 22, 2026, 10:02 a.m.
PD	Predicate disambiguation	`batch_69f623a4e1048190bbb8dd1253fdcee9`	completed	May 2, 2026, 4:17 p.m.

Created at: April 18, 2026, 4:49 a.m.