Triple
T32006753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic New Year |
E817289
|
entity |
| Predicate | associatedWithMonthType |
P206144
|
FINISHED |
| Object | sacred month |
—
|
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: sacred month | Statement: [Islamic New Year, associatedWithMonthType, sacred month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMonthType Context triple: [Islamic New Year, associatedWithMonthType, sacred month]
-
A.
associatedWithTransactionType
Indicates that something has a connection or linkage to a specific type or category of transaction.
-
B.
associatedWithMode
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
-
C.
associatedWithRelationship
Indicates a general connection or involvement between entities through some form of relationship, without specifying its exact nature.
-
D.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
E.
associatedWithCustom
Indicates a relationship where one entity is linked to or connected with another entity in a non-standard, user-defined, or customized manner.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:15 a.m.