Triple
T26137548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malekshahi |
E659422
|
entity |
| Predicate | personNumberMarking |
P161679
|
FINISHED |
| Object | agreement on verbs |
—
|
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: agreement on verbs | Statement: [Malekshahi, personNumberMarking, agreement on verbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personNumberMarking Context triple: [Malekshahi, personNumberMarking, agreement on verbs]
-
A.
nationalityMarkingFor
Indicates that something serves as a marker or indicator of the nationality associated with a given entity.
-
B.
inscriptionNumber
Indicates the identifying number assigned to a specific inscription within a collection or system.
-
C.
hasGovernmentNumber
Indicates that an entity is assigned a specific official identification number by a government authority.
-
D.
signatureNumber
Indicates the identifying number assigned to a specific signature within a document or signing process.
-
E.
signaturePersona
Indicates that an entity serves as the primary or defining persona, identity, or character most closely associated with another entity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 26, 2026, 8:18 p.m.