Triple
T9190566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wydminy |
E220576
|
entity |
| Predicate | vehicleRegistrationCodeRegion |
P3446
|
FINISHED |
| Object | NGI |
E783856
|
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: NGI | Statement: [Wydminy, vehicleRegistrationCodeRegion, NGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NGI Context triple: [Wydminy, vehicleRegistrationCodeRegion, NGI]
-
A.
NGI
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
chosen
NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
-
C.
NGP
NGP is the station code for Nagpur Junction, a major railway hub in central India on the Indian Railways network.
-
D.
NGA
NGA is a bipartisan organization representing the governors of U.S. states and territories, providing a platform for policy development, best-practice sharing, and collective advocacy at the national level.
-
E.
NGA
NGA is the commonly used abbreviation for the National Gallery of Australia, the country’s premier national art museum located in Canberra.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d5e81c8190b6687999a87fd559 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:24 p.m.