Triple
T20319871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الطور |
E492180
|
entity |
| Predicate | اسم_آخر |
P42207
|
FINISHED |
| Object |
جبل الزيتون
جبل الزيتون هو سلسلة تلال تاريخية مقدسة تقع شرق القدس وتُعد من أهم المواقع الدينية في المسيحية واليهودية والإسلام.
|
E1423226
|
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: جبل الزيتون | Statement: [الطور, اسم_آخر, جبل الزيتون]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: جبل الزيتون Context triple: [الطور, اسم_آخر, جبل الزيتون]
-
A.
Monte Miletto
Monte Miletto is a prominent peak in southern Italy’s Apennine range, known as the highest summit of the Matese massif.
-
B.
Mount Ṭūr
Mount Ṭūr is a revered mountain in the Sinai region traditionally identified with the biblical Mount Sinai, where Moses is believed to have received divine revelation.
-
C.
Petros Mountain
Petros Mountain is a prominent peak in the Ukrainian Carpathians, known for its scenic alpine landscapes and popular hiking routes.
-
D.
Mount Kynthos
Mount Kynthos is the central hill and most prominent natural feature of the Greek island of Delos, historically revered as a sacred site in ancient Greek religion and mythology.
-
E.
Mount Sipylus
Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
- 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: جبل الزيتون Triple: [الطور, اسم_آخر, جبل الزيتون]
Generated description
جبل الزيتون هو سلسلة تلال تاريخية مقدسة تقع شرق القدس وتُعد من أهم المواقع الدينية في المسيحية واليهودية والإسلام.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: جبل الزيتون Target entity description: جبل الزيتون هو سلسلة تلال تاريخية مقدسة تقع شرق القدس وتُعد من أهم المواقع الدينية في المسيحية واليهودية والإسلام.
-
A.
Monte Miletto
Monte Miletto is a prominent peak in southern Italy’s Apennine range, known as the highest summit of the Matese massif.
-
B.
Mount Ṭūr
Mount Ṭūr is a revered mountain in the Sinai region traditionally identified with the biblical Mount Sinai, where Moses is believed to have received divine revelation.
-
C.
Petros Mountain
Petros Mountain is a prominent peak in the Ukrainian Carpathians, known for its scenic alpine landscapes and popular hiking routes.
-
D.
Mount Kynthos
Mount Kynthos is the central hill and most prominent natural feature of the Greek island of Delos, historically revered as a sacred site in ancient Greek religion and mythology.
-
E.
Mount Sipylus
Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086126c9a08190a6dcb30d118a2730 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635b649c8190a6994ad3e18d3079 |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:20 a.m.