Triple
T13647165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Avenue |
E326132
|
entity |
| Predicate | featuredIn |
P626
|
FINISHED |
| Object | Monopoly board game |
E510996
|
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: Monopoly board game | Statement: [Pacific Avenue, featuredIn, Monopoly board game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monopoly board game Context triple: [Pacific Avenue, featuredIn, Monopoly board game]
-
A.
Monopoly
chosen
Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
-
B.
Monopoli
Monopoli is a coastal town in southern Italy known for its historic old town, picturesque harbor, and Adriatic beaches.
-
C.
Parchís
Parchís was a popular Spanish children's music group from the late 1970s and 1980s known for their catchy songs and colorful, board-game-inspired image.
-
D.
UNO
UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
-
E.
UNO
UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.