Triple

T9381266
Position Surface form Disambiguated ID Type / Status
Subject Coclé Province E225788 entity
Predicate hasSettlement P1068 FINISHED
Object Antón
Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
 E794947 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: Antón | Statement: [Coclé Province, hasSettlement, Antón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antón
Context triple: [Coclé Province, hasSettlement, Antón]
  • A. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Norberto
    Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
  • 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: Antón
Triple: [Coclé Province, hasSettlement, Antón]
Generated description
Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antón
Target entity description: Antón is a town and district capital in central Panama known for its agricultural economy and proximity to natural attractions such as mountains and hot springs.
  • A. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Norberto
    Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50be52248190bc7cd9deb95a1ef8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4311a548190885d82167199221b completed April 4, 2026, 11:21 a.m.
NEDg Description generation batch_69d0f6a980608190833e5b4af44ccaff completed April 4, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69d0f71c72c48190a2d87d262d3d7cb7 completed April 4, 2026, 11:33 a.m.
Created at: March 30, 2026, 7:44 p.m.