Triple
T11059682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INDER |
E261473
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | INDER |
E261473
|
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: INDER | Statement: [INDER, shortName, INDER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INDER Context triple: [INDER, shortName, INDER]
-
A.
INDER
chosen
INDER is Cuba’s National Institute of Sports, Physical Education and Recreation, the state body responsible for organizing and promoting sports and physical activity throughout the country.
-
B.
INE
INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
-
C.
Ing
Ing is a shortened form or nickname derived from the given name Ingrid.
-
D.
Entrange
Entrange is a small commune in the Moselle department of northeastern France, situated near the borders with Luxembourg and Germany.
-
E.
Ini
Ini was a little-known pharaoh of ancient Egypt’s Twenty-third Dynasty who ruled part of Upper Egypt during the politically fragmented Third Intermediate Period.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a4f3f88190a29710f64cef9d25 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.