Triple

T8750773
Position Surface form Disambiguated ID Type / Status
Subject Central Iowa E207951 entity
Predicate hasCity P316 FINISHED
Object Tama
Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
 E755222 NE FINISHED

How this triple was built (4 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: Tama | Statement: [Central Iowa, hasCity, Tama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tama
Context triple: [Central Iowa, hasCity, Tama]
  • A. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • B. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • D. Taura
    Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • E. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tama
Triple: [Central Iowa, hasCity, Tama]
Generated description
Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tama
Target entity description: Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
  • A. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • B. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • D. Taura
    Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • E. Totsakan
    Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
  • F. None of above. chosen

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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da774f4819099e5bfd12973d946 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf431db5a88190a579b43370a8e887 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf45ff020c81909bfe20de50d3661a completed April 3, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69cf46ab85088190b12e6eb969f2c65b completed April 3, 2026, 4:48 a.m.
Created at: March 30, 2026, 6:39 p.m.