Triple
T12253426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasana |
E292033
|
entity |
| Predicate | geographicRegion |
P285
|
FINISHED |
| Object | Sinai |
E6370
|
NE 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: Sinai | Statement: [Hasana, geographicRegion, Sinai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinai Context triple: [Hasana, geographicRegion, Sinai]
-
A.
Sinai
Sinai is one of the two small, historic funicular cars that operate on Los Angeles’ Angels Flight Railway.
-
B.
Sinai Peninsula
chosen
The Sinai Peninsula is a triangular land bridge between Africa and Asia, known for its desert landscapes, strategic location, and religious and historical significance.
-
C.
Sinajana
Sinajana is a small residential village located on the island of Guam in the western Pacific Ocean.
-
D.
מדבר סיני
מדבר סיני הוא חצי אי מדברי נרחב בצפון-מזרח מצרים, הידוע בנופיו ההרריים והצחיחים ובחשיבותו ההיסטורית והדתית ביהדות, נצרות ואסלאם.
-
E.
Sinai desert
The Sinai Desert is a vast arid peninsula in northeastern Egypt, historically significant as a crossroads between Africa and Asia and as a major site of biblical and early Christian monastic tradition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.