Triple
T4725169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Meron |
E104864
|
entity |
| Predicate | hasSettlementNearby |
P7611
|
FINISHED |
| Object |
Safsufa
Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
|
E463874
|
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: Safsufa | Statement: [Mount Meron, hasSettlementNearby, Safsufa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safsufa Context triple: [Mount Meron, hasSettlementNearby, Safsufa]
-
A.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
B.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
E.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
- 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: Safsufa Triple: [Mount Meron, hasSettlementNearby, Safsufa]
Generated description
Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Safsufa Target entity description: Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
-
A.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
B.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
E.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64456a6c8190b658216b62ef82cf |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be109c67648190ba9bda7fc5cb3dd1 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be134fbc088190a2c7b3c3e7f00584 |
completed | March 21, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be13e813e08190842ad5c2ad8e47cc |
completed | March 21, 2026, 3:43 a.m. |
Created at: March 20, 2026, 1:18 p.m.