Triple

T2440002
Position Surface form Disambiguated ID Type / Status
Subject National Memorial for Peace and Justice E53250 entity
Predicate city P40 FINISHED
Object Montgomery E9524 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: Montgomery | Statement: [National Memorial for Peace and Justice, city, Montgomery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery
Context triple: [National Memorial for Peace and Justice, city, Montgomery]
  • A. Montgomery
    Montgomery is a common English and Scottish surname of Norman origin, historically associated with nobility and military figures.
  • B. Montgomery
    Montgomery is a historic market town in Powys, Wales, known for its medieval castle ruins and Georgian architecture.
  • C. Montgomery, Alabama chosen
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • D. Montgomery metropolitan area
    The Montgomery metropolitan area is a regional urban hub in central Alabama centered on the city of Montgomery and its surrounding communities.
  • E. Phenix City
    Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
  • 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_69abc9f7ba208190810f8ea115110375 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a342508190b30766327f298bf9 completed March 10, 2026, 4:05 a.m.
Created at: March 6, 2026, 9:43 p.m.