Triple
T13232371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sannine |
E315052
|
entity |
| Predicate | hasVillageOnSlopes |
P39554
|
FINISHED |
| Object |
Zaarour
Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
|
E1029593
|
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: Zaarour | Statement: [Mount Sannine, hasVillageOnSlopes, Zaarour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaarour Context triple: [Mount Sannine, hasVillageOnSlopes, Zaarour]
-
A.
Tawil
Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
-
B.
Sarhili
Sarhili was a 19th-century Xhosa king of the Gcaleka who ruled during a period of intense conflict and colonial expansion in the Eastern Cape region of South Africa.
-
C.
Jowhar
Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
-
D.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
E.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
- 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: Zaarour Triple: [Mount Sannine, hasVillageOnSlopes, Zaarour]
Generated description
Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaarour Target entity description: Zaarour is a Lebanese mountain village and ski resort located on the slopes of Mount Sannine.
-
A.
Tawil
Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
-
B.
Sarhili
Sarhili was a 19th-century Xhosa king of the Gcaleka who ruled during a period of intense conflict and colonial expansion in the Eastern Cape region of South Africa.
-
C.
Jowhar
Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
-
D.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
E.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
- 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.