Triple
T4690753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSAGI |
E104027
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | OSAGI |
E104027
|
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: OSAGI | Statement: [OSAGI, acronym, OSAGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSAGI Context triple: [OSAGI, acronym, OSAGI]
-
A.
OSAGI
chosen
OSAGI was a former United Nations office focused on promoting gender equality and advancing the status and rights of women worldwide.
-
B.
OASAM
OASAM is a division of the U.S. Department of Labor responsible for providing administrative, management, and support services across the department.
-
C.
OSAV
OSAV is the French abbreviation for Switzerland’s Federal Food Safety and Veterinary Office, the national authority responsible for food safety, animal health, and animal welfare.
-
D.
ISAGO
ISAGO is the International Air Transport Association’s global safety audit program for ground service providers, aimed at improving operational safety and standardizing ground handling practices in aviation.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd639ae1c08190a1c79ccbdf5f24ac |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105a709c819083504fe1dc1612d8 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.