Triple
T30329543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central City, Colorado |
E771437
|
entity |
| Predicate | casinosBegan |
P168850
|
FINISHED |
| Object | early 1990s |
—
|
LITERAL 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: early 1990s | Statement: [Central City, Colorado, casinosBegan, early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casinosBegan Context triple: [Central City, Colorado, casinosBegan, early 1990s]
-
A.
casinoOpeningDate
Indicates the calendar date on which a casino first began operating or officially opened to the public.
-
B.
hasCasino
Indicates that an entity includes, contains, or is associated with a casino facility or gambling establishment.
-
C.
beganPlayInLasVegas
Indicates that an entity started its playing career or activity in Las Vegas.
-
D.
casinoLocatedIn
Indicates that a casino is situated within or belongs to a specific geographic or administrative location.
-
E.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
- F. None of above. chosen
Provenance (4 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f681c56df8819089afc39435164d29 |
completed | May 2, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:53 p.m.