Triple
T29661597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias & Co. |
E750420
|
entity |
| Predicate | hasCashWraps |
P194554
|
FINISHED |
| Object | multiple checkout counters |
—
|
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: multiple checkout counters | Statement: [Elias & Co., hasCashWraps, multiple checkout counters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCashWraps Context triple: [Elias & Co., hasCashWraps, multiple checkout counters]
-
A.
hasCashForm
Indicates that something exists or is available specifically in the form of cash.
-
B.
hasCoins
Indicates that an entity possesses or holds one or more coins.
-
C.
hasDeposits
Indicates that an entity holds or maintains deposited funds or resources in another entity, such as an account or institution.
-
D.
hasBanknotes
Indicates that an entity possesses or contains one or more banknotes.
-
E.
notPhysicalCash
Indicates that the transaction, payment, or value transfer does not involve tangible paper money or coins, but instead uses non-cash forms such as digital, electronic, or other non-physical means.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fd7b042a548190b3abe31bc3258278 |
completed | May 8, 2026, 5:56 a.m. |
Created at: April 28, 2026, 6:58 p.m.