Triple
T18758541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Nemrut |
E458710
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Kahta
Kahta is a town in Turkey’s Adıyaman Province that serves as a common base for visitors exploring the ancient archaeological site of Mount Nemrut.
|
E1341015
|
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: Kahta | Statement: [Mount Nemrut, near, Kahta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahta Context triple: [Mount Nemrut, near, Kahta]
-
A.
Vahto
Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
-
B.
Kattavia
Kattavia is a small traditional village located at the southern tip of the Greek island of Rhodes, known for its quiet atmosphere and proximity to popular windsurfing beaches.
-
C.
Kohat
Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
-
D.
Kykula
Kykula is a mountain peak located in the Kysucké Beskydy range in northern Slovakia, known for its forested slopes and hiking opportunities.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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: Kahta Triple: [Mount Nemrut, near, Kahta]
Generated description
Kahta is a town in Turkey’s Adıyaman Province that serves as a common base for visitors exploring the ancient archaeological site of Mount Nemrut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kahta Target entity description: Kahta is a town in Turkey’s Adıyaman Province that serves as a common base for visitors exploring the ancient archaeological site of Mount Nemrut.
-
A.
Vahto
Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
-
B.
Kattavia
Kattavia is a small traditional village located at the southern tip of the Greek island of Rhodes, known for its quiet atmosphere and proximity to popular windsurfing beaches.
-
C.
Kohat
Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
-
D.
Kykula
Kykula is a mountain peak located in the Kysucké Beskydy range in northern Slovakia, known for its forested slopes and hiking opportunities.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d3b95e48190bc6628c58082ba15 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053e82414c8190a0721e94de73b905 |
completed | May 14, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053f4f39d88190b372b8cfa3e94891 |
completed | May 14, 2026, 3:19 a.m. |
Created at: April 10, 2026, 11:52 a.m.