Triple
T35060405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | تل مجيدو |
E1011575
|
entity |
| Predicate | استيطانه يعود إلى |
P135306
|
FINISHED |
| Object | العصر الحجري النحاسي |
—
|
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: العصر الحجري النحاسي | Statement: [تل مجيدو, استيطانه يعود إلى, العصر الحجري النحاسي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: استيطانه يعود إلى Context triple: [تل مجيدو, استيطانه يعود إلى, العصر الحجري النحاسي]
-
A.
تعود_إلى
Indicates that something or someone returns, goes back, or is attributed back to a previous place, state, source, or reference.
-
B.
returnToRomeTo
Indicates that an entity goes back or returns to the location Rome.
-
C.
returnToPalestine
Indicates that an entity goes back or is brought back to Palestine after having been elsewhere.
-
D.
returnsToIdentityOf
Indicates that an entity reverts or is restored to its original or defining identity after a change, transformation, or deviation.
-
E.
originOfSettlement
chosen
Indicates the place, source, or starting point from which a settlement was established or originated.
- 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.