Triple
T9236432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benito Juárez Day |
E221947
|
entity |
| Predicate | bankStatus |
P87720
|
FINISHED |
| Object | banks generally closed |
—
|
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: banks generally closed | Statement: [Benito Juárez Day, bankStatus, banks generally closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bankStatus Context triple: [Benito Juárez Day, bankStatus, banks generally closed]
-
A.
hasBank
Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
-
B.
banksOften
Indicates that the subject frequently or habitually engages in banking activities with the object (such as depositing, withdrawing, or otherwise using banking services).
-
C.
denominationStatus
Indicates the current recognition, validity, or standing of a particular denomination within a specified system or context.
-
D.
statusCurrency
Indicates that a particular status or state is expressed, measured, or denominated in a specific currency.
-
E.
hasSettlementOnBanks
Indicates that a settlement is located on or along the banks of a geographic feature such as a river, lake, or coastline.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09d42488190b8ccb9c4b62fdda8 |
completed | April 1, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:29 p.m.