Triple
T19802666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahramanmaraş Province |
E475723
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Andırın
Andırın is a town and district in Turkey known for its mountainous terrain and forests within Kahramanmaraş Province in the Mediterranean region.
|
E1396088
|
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: Andırın | Statement: [Kahramanmaraş Province, hasCity, Andırın]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andırın Context triple: [Kahramanmaraş Province, hasCity, Andırın]
-
A.
Yassıada
Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
D.
Kampilya
Kampilya was an ancient city in northern India, historically renowned as the capital of the Panchala kingdom mentioned in the Indian epics.
-
E.
İnhisar
İnhisar is a small town and district located in Turkey's Bilecik Province in the Marmara region.
- 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: Andırın Triple: [Kahramanmaraş Province, hasCity, Andırın]
Generated description
Andırın is a town and district in Turkey known for its mountainous terrain and forests within Kahramanmaraş Province in the Mediterranean region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andırın Target entity description: Andırın is a town and district in Turkey known for its mountainous terrain and forests within Kahramanmaraş Province in the Mediterranean region.
-
A.
Yassıada
Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Darıca
Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
-
D.
Kampilya
Kampilya was an ancient city in northern India, historically renowned as the capital of the Panchala kingdom mentioned in the Indian epics.
-
E.
İnhisar
İnhisar is a small town and district located in Turkey's Bilecik Province in the Marmara region.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50a78dc8190ae3125974372785c |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c59d56c8819092cd0d6ac6265ebf |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c61cde3081909bfec0054e4cd5e9 |
completed | May 16, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:49 p.m.