Triple
T10768887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Dodder |
E254023
|
entity |
| Predicate | sourceLocation |
P40
|
FINISHED |
| Object | Kippure |
E877939
|
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: Kippure | Statement: [River Dodder, sourceLocation, Kippure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kippure Context triple: [River Dodder, sourceLocation, Kippure]
-
A.
Kippure
chosen
Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
-
B.
عرعرة النقب
عرعرة النقب هي قرية عربية بدوية تقع في منطقة النقب جنوب فلسطين التاريخية وتتبع إداريًا لمنطقة بئر السبع في إسرائيل.
-
C.
Mevaseret Zion
Mevaseret Zion is a suburban town in central Israel located just west of Jerusalem, known primarily as a residential community for commuters to the city.
-
D.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
-
E.
Nahariya
Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de236d0a78819090774656b7b492e5 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.