Triple
T19884780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hague, Virginia |
E477867
|
entity |
| Predicate | hasStateAbbreviation |
P2461
|
FINISHED |
| Object | VA |
—
|
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: VA | Statement: [Hague, Virginia, hasStateAbbreviation, VA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VA Context triple: [Hague, Virginia, hasStateAbbreviation, VA]
-
A.
VA
VA is the IATA airline designator for Virgin Australia, a major Australian airline operating domestic and international flights.
-
B.
VA
VA is the vehicle registration code used on license plates for Vas County in Hungary.
-
C.
VA
chosen
VA is the U.S. state of Virginia, located on the East Coast and known for its historical significance and diverse geography.
-
D.
Va
Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
-
E.
Virginia
"Virginia" is a tragic play by Italian dramatist Vittorio Alfieri that dramatizes themes of tyranny, virtue, and personal sacrifice in ancient Rome.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659093df081909d3be9c3caeb79ba |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.