Triple

T12130721
Position Surface form Disambiguated ID Type / Status
Subject Panama Pacifico International Airport E288926 entity
Predicate nearbyCity P350 FINISHED
Object Arraiján
Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
E967994 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: Arraiján | Statement: [Panama Pacifico International Airport, nearbyCity, Arraiján]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arraiján
Context triple: [Panama Pacifico International Airport, nearbyCity, Arraiján]
  • A. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • B. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • C. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • D. Anfalas
    Anfalas is a coastal region in the realm of Gondor in J.R.R. Tolkien’s Middle-earth, known for its long shoreline and scattered fishing and farming communities.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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: Arraiján
Triple: [Panama Pacifico International Airport, nearbyCity, Arraiján]
Generated description
Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arraiján
Target entity description: Arraiján is a rapidly growing district in Panama’s Panamá Oeste province, located just west of Panama City and known for its residential developments and proximity to major infrastructure projects.
  • A. Arandis
    Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
  • B. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • C. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • D. Anfalas
    Anfalas is a coastal region in the realm of Gondor in J.R.R. Tolkien’s Middle-earth, known for its long shoreline and scattered fishing and farming communities.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6048d6f24819093862fb46f9938f1 completed May 2, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f6056e3fdc81908e6e97c4c37a18bb completed May 2, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:49 p.m.