Triple
T17181302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto de Opinión Pública |
E416988
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | IOP |
E416988
|
NE FINISHED |
How this triple was built (2 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: IOP | Statement: [Instituto de Opinión Pública, abbreviation, IOP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IOP Context triple: [Instituto de Opinión Pública, abbreviation, IOP]
-
A.
IOP
chosen
IOP is the commonly used abbreviation for the Instituto de Opinión Pública, an organization dedicated to conducting public opinion and social research.
-
B.
IOP
IOP is a common abbreviation for the Institute of Politics, an organization typically associated with fostering political engagement, public service, and policy discussion, often within a university setting.
-
C.
IOP
IOP is a leading professional body and learned society dedicated to advancing the understanding and application of physics.
-
D.
IoPPN
IoPPN is a leading research and teaching institute in mental health, psychology, and neuroscience that is part of King's College London.
-
E.
OIOS
OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc1187808190aeaa0d0e6487957e |
completed | April 18, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014847a19481909b1249c2fe428bfc |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.