Triple

T23721171
Position Surface form Disambiguated ID Type / Status
Subject Nowe Warpno E586145 entity
Predicate locatedOn P40 FINISHED
Object Nowe Warpno Peninsula
The Nowe Warpno Peninsula is a narrow landform in northwestern Poland that extends into the Szczecin Lagoon, hosting the small town of Nowe Warpno and surrounding natural areas.
E1608760 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: Nowe Warpno Peninsula | Statement: [Nowe Warpno, locatedOn, Nowe Warpno Peninsula]
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: Nowe Warpno Peninsula
Triple: [Nowe Warpno, locatedOn, Nowe Warpno Peninsula]
Generated description
The Nowe Warpno Peninsula is a narrow landform in northwestern Poland that extends into the Szczecin Lagoon, hosting the small town of Nowe Warpno and surrounding natural areas.

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_69e24906fb108190a6898751e46bdc11 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b91177c08190bea6e62ed13e2495 completed April 29, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7602273081908f33fe5d18456277 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f76f167d08190a9e4d3abc3cc4545 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c5e978819086792ca6d9835ff9 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 7:01 p.m.