Triple
T1256480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vici Properties |
E12404
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | VICI |
E12404
|
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: VICI | Statement: [Vici Properties, tickerSymbol, VICI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VICI Context triple: [Vici Properties, tickerSymbol, VICI]
-
A.
VIC
VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
-
B.
Vici Properties
chosen
Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
-
C.
VACO
VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
-
D.
Vin
Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
-
E.
Vuse
Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93cb76248190a23acb2e76ecfa8d |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:50 p.m.