Triple
T12151211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şanlıurfa Province |
E289457
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ceylanpınar
Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
|
E999972
|
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: Ceylanpınar | Statement: [Şanlıurfa Province, contains, Ceylanpınar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ceylanpınar Context triple: [Şanlıurfa Province, contains, Ceylanpınar]
-
A.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
-
B.
Pınarbaşı
Pınarbaşı is a town and district in central Turkey known for its location within Kayseri Province and its traditional Anatolian rural character.
-
C.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
-
D.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
E.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
- 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: Ceylanpınar Triple: [Şanlıurfa Province, contains, Ceylanpınar]
Generated description
Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ceylanpınar Target entity description: Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
-
A.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
-
B.
Pınarbaşı
Pınarbaşı is a town and district in central Turkey known for its location within Kayseri Province and its traditional Anatolian rural character.
-
C.
Yakapınar
Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
-
D.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
E.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c60a7d081908e402c15b7e38596 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67db4dd2081909a238e368645e899 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 8, 2026, 9:49 p.m.