Triple
T9476070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Turkish constitutional referendum |
E228519
|
entity |
| Predicate | numberOfArticlesAmended |
P1039
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [2017 Turkish constitutional referendum, numberOfArticlesAmended, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArticlesAmended Context triple: [2017 Turkish constitutional referendum, numberOfArticlesAmended, 18]
-
A.
amendmentCount
chosen
Indicates the number of amendments that have been made to a given item, document, or entity.
-
B.
amendedFor
Indicates that one entity has been modified or revised specifically to address, correct, or accommodate another entity.
-
C.
hasAmendments
Indicates that one entity (such as a document, law, or agreement) includes or is associated with one or more modifications, changes, or additions made after its original creation.
-
D.
furtherAmendedBy
Indicates that an existing item (such as a document, law, or agreement) is modified again by a subsequent amendment, building on prior changes.
-
E.
partiallyAmendedBy
Indicates that an existing item (such as a document, law, or agreement) has been modified in part, but not completely replaced, by another item.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd80127744819082176b2d4417216e |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:54 p.m.