Triple
T16376522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didim |
E397692
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Altınkum
Altınkum is a popular seaside resort area in western Turkey known for its sandy beaches and vibrant tourist nightlife.
|
E1210707
|
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: Altınkum | Statement: [Didim, hasPart, Altınkum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altınkum Context triple: [Didim, hasPart, Altınkum]
-
A.
Altıntaş
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
-
B.
Altınekin
Altınekin is a rural district and town in central Turkey known for its agricultural economy within the Konya region.
-
C.
Altındağ
Altındağ is a central district of Turkey’s capital city Ankara, known for its historic quarters, cultural landmarks, and dense urban neighborhoods.
-
D.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
E.
Korkuteli
Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya 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: Altınkum Triple: [Didim, hasPart, Altınkum]
Generated description
Altınkum is a popular seaside resort area in western Turkey known for its sandy beaches and vibrant tourist nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altınkum Target entity description: Altınkum is a popular seaside resort area in western Turkey known for its sandy beaches and vibrant tourist nightlife.
-
A.
Altıntaş
Altıntaş is a town and district in western Turkey known for its location within Kütahya Province and its agricultural-based local economy.
-
B.
Altınekin
Altınekin is a rural district and town in central Turkey known for its agricultural economy within the Konya region.
-
C.
Altındağ
Altındağ is a central district of Turkey’s capital city Ankara, known for its historic quarters, cultural landmarks, and dense urban neighborhoods.
-
D.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
E.
Korkuteli
Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356406208190a9cedc1de2ab4e07 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00377305bc8190a566c4ed4aed70c9 |
completed | May 10, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037e43a2c8190993447ade595f6e6 |
completed | May 10, 2026, 7:46 a.m. |
Created at: April 10, 2026, 5:08 a.m.