Triple
T13232368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sannine |
E315052
|
entity |
| Predicate | hasVillageOnSlopes |
P39554
|
FINISHED |
| Object |
Faraya
Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
|
E1029591
|
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: Faraya | Statement: [Mount Sannine, hasVillageOnSlopes, Faraya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faraya Context triple: [Mount Sannine, hasVillageOnSlopes, Faraya]
-
A.
Khidrana
Khidrana is the former name of Muktsar, a historically significant town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar.
-
B.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
-
C.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
D.
Mi'ilya
Mi'ilya is a village in northern Israel, notable for its predominantly Christian Arab population and its location near the city of Ma'alot-Tarshiha.
-
E.
Derisha
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
- 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: Faraya Triple: [Mount Sannine, hasVillageOnSlopes, Faraya]
Generated description
Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faraya Target entity description: Faraya is a popular Lebanese mountain village and ski resort town known for its scenic landscapes and winter sports.
-
A.
Khidrana
Khidrana is the former name of Muktsar, a historically significant town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar.
-
B.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
-
C.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
D.
Mi'ilya
Mi'ilya is a village in northern Israel, notable for its predominantly Christian Arab population and its location near the city of Ma'alot-Tarshiha.
-
E.
Derisha
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d34ff288190bdb550a019b7a470 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70476310c8190b13dc948c1f1ce95 |
completed | May 3, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70578047c819089fc3044eceb4eac |
completed | May 3, 2026, 8:21 a.m. |
Created at: April 9, 2026, 9:22 p.m.