Triple

T2441099
Position Surface form Disambiguated ID Type / Status
Subject Treasure Island Naval Station (former) E53275 entity
Predicate geographicCoordinateSystem P2054 FINISHED
Object Earth E687 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: Earth | Statement: [Treasure Island Naval Station (former), geographicCoordinateSystem, Earth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earth
Context triple: [Treasure Island Naval Station (former), geographicCoordinateSystem, Earth]
  • A. Earth chosen
    Earth is the third planet from the Sun and the only known world to support life, characterized by vast oceans, diverse ecosystems, and a protective atmosphere.
  • B. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • C. Mars
    Mars is the fourth planet from the Sun, a cold, desert-like world often called the "Red Planet" due to its iron-rich surface and a prime target in the search for past or present extraterrestrial life.
  • D. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • E. Verden
    Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f94e388190b6e49d4f7bbb6697 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b3f7188190911f2db0ef2200cc completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.