Triple
T26138105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | تضم_آثارًا |
P19329
|
FINISHED |
| Object | تماثيل ضخمة لرمسيس الثاني |
—
|
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: تماثيل ضخمة لرمسيس الثاني | Statement: [منف, تضم_آثارًا, تماثيل ضخمة لرمسيس الثاني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تضم_آثارًا Context triple: [منف, تضم_آثارًا, تماثيل ضخمة لرمسيس الثاني]
-
A.
نوع_آثار_مرتبط
Indicates a relationship where one entity is associated with another through a specific type or category of related works or artifacts.
-
B.
archaeologicalFindsInclude
chosen
Indicates that the set of archaeological finds at a site or context contains or encompasses the specified items or types of artifacts.
-
C.
hasArchaeologicalMaterial
Indicates that an entity possesses, contains, or is associated with specific archaeological materials or artifacts.
-
D.
relicsAssociatedWith
Indicates a relationship where certain relics are connected or linked to a particular entity, context, or subject (such as a person, place, event, or tradition).
-
E.
hasArchaeologicalFeature
Indicates that an entity possesses, contains, or is associated with a specific archaeological feature or structure.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.