Triple
T21082280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next Generation Identification |
E519398
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | NGI |
—
|
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: NGI | Statement: [Next Generation Identification, alsoKnownAs, NGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NGI Context triple: [Next Generation Identification, alsoKnownAs, NGI]
-
A.
NGI
chosen
NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
-
B.
NGI
NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
-
C.
NGI
NGI is a research consortium focused on studying and addressing environmental and ecological issues in the northern Gulf of Mexico region.
-
D.
ngi
ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
-
E.
NGU
NGU is the acronym for the National Guard of Ukraine, a military formation responsible for national defense, public order, and internal security.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702dcbf9c81908e4cc016eb21bbbc |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.