Triple

T23903478
Position Surface form Disambiguated ID Type / Status
Subject Berkeley Sound E601120 entity
Predicate isNear P350 FINISHED
Object Port Louis, East Falkland
Port Louis, East Falkland is a small settlement on East Falkland in the Falkland Islands, historically significant as one of the archipelago’s earliest French and later British colonial outposts.
E1609440 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: Port Louis, East Falkland | Statement: [Berkeley Sound, isNear, Port Louis, East Falkland]
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: Port Louis, East Falkland
Triple: [Berkeley Sound, isNear, Port Louis, East Falkland]
Generated description
Port Louis, East Falkland is a small settlement on East Falkland in the Falkland Islands, historically significant as one of the archipelago’s earliest French and later British colonial outposts.

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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cde0674c8190a5e1ce0315ae83cd completed April 29, 2026, 9:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f76308e7081909312e7ff99b72067 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f76cd32688190ac032b5b79dba0b8 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c456dc8190869c04d4a5c00ceb completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 8:26 p.m.