Triple
T10643507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Gap |
E250780
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Kippure
Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
|
E877939
|
NE FINISHED |
How this triple was built (4 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: [Sally Gap, near, Kippure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kippure Context triple: [Sally Gap, near, Kippure]
-
A.
عرعرة النقب
عرعرة النقب هي قرية عربية بدوية تقع في منطقة النقب جنوب فلسطين التاريخية وتتبع إداريًا لمنطقة بئر السبع في إسرائيل.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Kfarakka
Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kippure Triple: [Sally Gap, near, Kippure]
Generated description
Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kippure Target entity description: Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
-
A.
عرعرة النقب
عرعرة النقب هي قرية عربية بدوية تقع في منطقة النقب جنوب فلسطين التاريخية وتتبع إداريًا لمنطقة بئر السبع في إسرائيل.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Kfarakka
Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
- F. None of above. chosen
Provenance (5 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.