Triple
T18225659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immigration and Naturalization Service |
E436414
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | INS |
—
|
NE NERFINISHED |
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: INS | Statement: [Immigration and Naturalization Service, shortName, INS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INS Context triple: [Immigration and Naturalization Service, shortName, INS]
-
A.
INS
chosen
INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
-
B.
INS
INS is the acronym for Tunisia’s National Institute of Statistics, the official government body responsible for producing and disseminating national statistical data.
-
C.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
D.
INST
INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
-
E.
INSP
INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aeb4cc81908959413c368a2243 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.