Triple
T1304686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VNM |
E27846
|
entity |
| Predicate | hasThreeLetterForm |
P12826
|
FINISHED |
| Object | "VNM" |
E27846
|
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: "VNM" | Statement: [VNM, hasThreeLetterForm, "VNM"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "VNM" Context triple: [VNM, hasThreeLetterForm, "VNM"]
-
A.
VNM
chosen
VNM is the three-letter ISO 3166-1 alpha-3 country code assigned to Vietnam.
-
B.
VZ
VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
-
C.
VGN
VGN (Verkehrsverbund Großraum Nürnberg) is the public transport association that coordinates and manages integrated ticketing and services across the greater Nuremberg metropolitan area in Germany.
-
D.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13393388190b784d6bd8c447dda |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb306e3cc8190997cda8aaedbcebb |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:51 p.m.