Triple
T19161793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expert Mechanism on the Rights of Indigenous Peoples |
E469073
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
EMRIP
EMRIP is a United Nations expert body that provides advice and studies on the rights of Indigenous Peoples worldwide.
|
E1361051
|
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: EMRIP | Statement: [Expert Mechanism on the Rights of Indigenous Peoples, shortName, EMRIP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMRIP Context triple: [Expert Mechanism on the Rights of Indigenous Peoples, shortName, EMRIP]
-
A.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
-
B.
EMR Regional
EMR Regional is a UK passenger rail service brand used by East Midlands Railway for its regional and local train operations across the East Midlands and surrounding areas.
-
C.
CEMR
CEMR is a European umbrella organization representing local and regional governments, promoting their interests and cooperation across Europe.
-
D.
IT-EMR
IT-EMR is the code for Emilia-Romagna, an administrative region in northern Italy that includes the municipality of Guastalla.
-
E.
EMAP
EMAP is a media and events company known for organizing and supporting major international architecture and design initiatives.
- 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: EMRIP Triple: [Expert Mechanism on the Rights of Indigenous Peoples, shortName, EMRIP]
Generated description
EMRIP is a United Nations expert body that provides advice and studies on the rights of Indigenous Peoples worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EMRIP Target entity description: EMRIP is a United Nations expert body that provides advice and studies on the rights of Indigenous Peoples worldwide.
-
A.
EMRO
EMRO is the World Health Organization’s regional office responsible for public health coordination and support across the Eastern Mediterranean region.
-
B.
EMR Regional
EMR Regional is a UK passenger rail service brand used by East Midlands Railway for its regional and local train operations across the East Midlands and surrounding areas.
-
C.
CEMR
CEMR is a European umbrella organization representing local and regional governments, promoting their interests and cooperation across Europe.
-
D.
IT-EMR
IT-EMR is the code for Emilia-Romagna, an administrative region in northern Italy that includes the municipality of Guastalla.
-
E.
EMAP
EMAP is a media and events company known for organizing and supporting major international architecture and design initiatives.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebd093c81909a50f1119e284069 |
completed | April 20, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25cc54c819096b3cac034630990 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f375f2d4819084f53e73f9573ee8 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f45351208190988e70cf325f554f |
completed | May 15, 2026, 10:24 a.m. |
Created at: April 10, 2026, 12:06 p.m.