Triple
T38463233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Excelsior |
E912501
|
entity |
| Predicate | franchiseSlotCost |
P98841
|
FINISHED |
| Object | 20000000 USD |
—
|
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: 20000000 USD | Statement: [New York Excelsior, franchiseSlotCost, 20000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseSlotCost Context triple: [New York Excelsior, franchiseSlotCost, 20000000 USD]
-
A.
franchiseFee
chosen
Indicates the monetary fee that a franchisee must pay to a franchisor in exchange for the right to operate under the franchisor’s brand or system.
-
B.
franchiseBasePriceCurrency
Indicates the currency in which the base price of a franchise is denominated.
-
C.
monopolyHotelCost
Indicates the cost required to purchase or build a hotel when a player holds a monopoly on a property or color group.
-
D.
franchisePlacement
Indicates that a franchise is established or located at a particular place or within a specific market area.
-
E.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
- F. None of above.
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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.