Triple
T16135062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نصب الشهيد |
E391501
|
entity |
| Predicate | يتكون_من |
P14960
|
FINISHED |
| Object | قبتين نصف كرويتين متقابلتين |
—
|
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: قبتين نصف كرويتين متقابلتين | Statement: [نصب الشهيد, يتكون_من, قبتين نصف كرويتين متقابلتين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتكون_من Context triple: [نصب الشهيد, يتكون_من, قبتين نصف كرويتين متقابلتين]
-
A.
constitutedBy
chosen
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
B.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
C.
composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
-
D.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
E.
componentFrom
Indicates that one entity is derived from, produced by, or originates as a component of another entity.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a04666c819091f36c5a2497d2e7 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.