Triple
T2016098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohnpei |
E43997
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Kolonia
Kolonia is the main urban center and former administrative hub on the island of Pohnpei in the Federated States of Micronesia.
|
E225824
|
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: Kolonia | Statement: [Pohnpei, capital, Kolonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolonia Context triple: [Pohnpei, capital, Kolonia]
-
A.
Colonia Maza
Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
-
B.
Colonia Narvarte
Colonia Narvarte is a centrally located residential and commercial neighborhood in Mexico City known for its mid-20th-century architecture, tree-lined streets, and vibrant urban life.
-
C.
Colonia Atlampa
Colonia Atlampa is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
-
D.
Colonia Doctores
Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
-
E.
Nueva Helvecia
Nueva Helvecia is a town in southwestern Uruguay known for its strong Swiss immigrant heritage and distinctive European-influenced architecture and culture.
- 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: Kolonia Triple: [Pohnpei, capital, Kolonia]
Generated description
Kolonia is the main urban center and former administrative hub on the island of Pohnpei in the Federated States of Micronesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolonia Target entity description: Kolonia is the main urban center and former administrative hub on the island of Pohnpei in the Federated States of Micronesia.
-
A.
Colonia Maza
Colonia Maza is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
-
B.
Colonia Narvarte
Colonia Narvarte is a centrally located residential and commercial neighborhood in Mexico City known for its mid-20th-century architecture, tree-lined streets, and vibrant urban life.
-
C.
Colonia Atlampa
Colonia Atlampa is a neighborhood in Mexico City located within the central borough of Cuauhtémoc.
-
D.
Colonia Doctores
Colonia Doctores is a traditional central neighborhood in Mexico City known for its historic streets, mixed residential and commercial character, and proximity to major civic and cultural institutions.
-
E.
Nueva Helvecia
Nueva Helvecia is a town in southwestern Uruguay known for its strong Swiss immigrant heritage and distinctive European-influenced architecture and culture.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8cb16048190bc626685fbb5f707 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aef0fe88190adf9cd218cf7d8b4 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0c1ea0388190b44af2223517129e |
completed | March 8, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c7719e881909059cef2c513a05a |
completed | March 8, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:38 p.m.