Triple
T8541947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indigenous peoples of Ecuador |
E202216
|
entity |
| Predicate | hasOrganization |
P629
|
FINISHED |
| Object |
FENOCIN
FENOCIN is a major Ecuadorian federation that represents and advocates for the rights and interests of Indigenous, peasant, and Afro-descendant communities.
|
E741184
|
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: FENOCIN | Statement: [Indigenous peoples of Ecuador, hasOrganization, FENOCIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FENOCIN Context triple: [Indigenous peoples of Ecuador, hasOrganization, FENOCIN]
-
A.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Actopan
Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
-
D.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
-
E.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
- 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: FENOCIN Triple: [Indigenous peoples of Ecuador, hasOrganization, FENOCIN]
Generated description
FENOCIN is a major Ecuadorian federation that represents and advocates for the rights and interests of Indigenous, peasant, and Afro-descendant communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FENOCIN Target entity description: FENOCIN is a major Ecuadorian federation that represents and advocates for the rights and interests of Indigenous, peasant, and Afro-descendant communities.
-
A.
Tylenol
Tylenol is a widely used over-the-counter pain reliever and fever reducer whose active ingredient is acetaminophen (paracetamol).
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Actopan
Actopan is a municipality and town in the central Mexican state of Hidalgo, known for its colonial architecture, agricultural production, and regional cuisine.
-
D.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
-
E.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e26be48190b10bc62fad178dad |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.