Triple
T17212781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemer |
E417772
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Beldibi
Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
|
E1258892
|
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: Beldibi | Statement: [Kemer, hasNearbyAttraction, Beldibi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beldibi Context triple: [Kemer, hasNearbyAttraction, Beldibi]
-
A.
Derabish
Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Babadag
Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
-
D.
Darbenai
Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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: Beldibi Triple: [Kemer, hasNearbyAttraction, Beldibi]
Generated description
Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beldibi Target entity description: Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
-
A.
Derabish
Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
-
B.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
-
C.
Babadag
Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
-
D.
Darbenai
Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc68a2c81908564231853b40db9 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e9d4308190a7c97da472d5e4b7 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0172a34194819094c290be86ec0e7e |
completed | May 11, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01732467408190b78c32296e20b55f |
completed | May 11, 2026, 6:11 a.m. |
Created at: April 10, 2026, 5:38 a.m.