Triple
T14663381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilician Gates |
E344300
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Pozantı
Pozantı is a town in Turkey’s Adana Province that serves as a key gateway between central Anatolia and the Mediterranean region.
|
E1112723
|
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: Pozantı | Statement: [Cilician Gates, near, Pozantı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pozantı Context triple: [Cilician Gates, near, Pozantı]
-
A.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
-
B.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
C.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Torbalı
Torbalı is a district and rapidly growing suburban area of İzmir, Turkey, known for its industrial zones and connection to the city via the İZBAN commuter rail system.
-
E.
Yalıköy
Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
- 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: Pozantı Triple: [Cilician Gates, near, Pozantı]
Generated description
Pozantı is a town in Turkey’s Adana Province that serves as a key gateway between central Anatolia and the Mediterranean region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pozantı Target entity description: Pozantı is a town in Turkey’s Adana Province that serves as a key gateway between central Anatolia and the Mediterranean region.
-
A.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
-
B.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
C.
Gölpazarı
Gölpazarı is a town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Torbalı
Torbalı is a district and rapidly growing suburban area of İzmir, Turkey, known for its industrial zones and connection to the city via the İZBAN commuter rail system.
-
E.
Yalıköy
Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd9b5d7988190927e88feef6a972f |
completed | May 8, 2026, 12:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddaa56f4c8190ba56af6a7a56a201 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.