Triple
T35060429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | تل مجيدو |
E1011575
|
entity |
| Predicate | مسجل في |
P144106
|
FINISHED |
| Object | سجلات الآثار الإسرائيلية الرسمية |
—
|
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: سجلات الآثار الإسرائيلية الرسمية | Statement: [تل مجيدو, مسجل في, سجلات الآثار الإسرائيلية الرسمية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مسجل في Context triple: [تل مجيدو, مسجل في, سجلات الآثار الإسرائيلية الرسمية]
-
A.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
B.
registro
chosen
Indicates that an entity is recorded, registered, or entered into an official or systematic record.
-
C.
inscribedFor
Indicates that something is formally written, engraved, or dedicated for a particular recipient or purpose.
-
D.
registrationOf
Indicates that one entity is the formal record or enrollment of another entity in an official system, registry, or process.
-
E.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7860a1154819088c0faac06bc3852 |
completed | May 3, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.