Triple
T894099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Ríos Region |
E19303
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lanco
Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
|
E106062
|
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: Lanco | Statement: [Los Ríos Region, hasCity, Lanco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanco Context triple: [Los Ríos Region, hasCity, Lanco]
-
A.
Chilean Ministry of Mining
The Chilean Ministry of Mining is the government body responsible for formulating and overseeing Chile’s mining policies, regulations, and development of its mineral resources.
-
B.
Northesk
Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
-
C.
Fundación Celarg
Fundación Celarg is a Venezuelan cultural institution dedicated to promoting Latin American literature, arts, and critical thought.
-
D.
Hanga Roa
Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
-
E.
Mount Company
Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
- 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: Lanco Triple: [Los Ríos Region, hasCity, Lanco]
Generated description
Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanco Target entity description: Lanco is a small Chilean city located in the Los Ríos Region, known primarily as an agricultural and service center for the surrounding rural area.
-
A.
Chilean Ministry of Mining
The Chilean Ministry of Mining is the government body responsible for formulating and overseeing Chile’s mining policies, regulations, and development of its mineral resources.
-
B.
Northesk
Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
-
C.
Fundación Celarg
Fundación Celarg is a Venezuelan cultural institution dedicated to promoting Latin American literature, arts, and critical thought.
-
D.
Hanga Roa
Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
-
E.
Mount Company
Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c02772208190ac86dd885728e89c |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c2f036548190bc018c0cbe02d0ca |
completed | March 4, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c38925b481909133a1b098b08fa9 |
completed | March 4, 2026, 5:30 a.m. |
Created at: March 1, 2026, 7:39 p.m.