Triple
T22253205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idhna |
E550029
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Deir Sammit |
—
|
NE NERFINISHED |
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: Deir Sammit | Statement: [Idhna, hasNearbyLocality, Deir Sammit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deir Sammit Context triple: [Idhna, hasNearbyLocality, Deir Sammit]
-
A.
Deir Sammit
chosen
Deir Sammit is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
B.
Deir Semaan
Deir Semaan is a village in northwestern Syria historically associated with the nearby Church of Saint Simeon Stylites and the legacy of the early Christian ascetic Simeon Stylites.
-
C.
Deir el Qamar
Deir el Qamar is a historic Lebanese village in the Chouf region known for its well-preserved traditional architecture and former role as a political and cultural center of Mount Lebanon.
-
D.
Deir al-Asad
Deir al-Asad is an Arab town in northern Israel known for its predominantly Muslim population and location in the Galilee region.
-
E.
Deir Mawas
Deir Mawas is a city in Upper Egypt known for its agricultural surroundings and location within the Minya Governorate along the Nile Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c003548190889860d6163eb873 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.