Triple
T7767100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatay Province |
E178976
|
entity |
| Predicate | containsAncientSite |
P1098
|
FINISHED |
| Object |
Tell Tayinat
Tell Tayinat is an important archaeological mound in southern Turkey known for its remains of an Iron Age Neo-Hittite city and earlier Bronze Age settlements.
|
E687213
|
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: Tell Tayinat | Statement: [Hatay Province, containsAncientSite, Tell Tayinat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Tayinat Context triple: [Hatay Province, containsAncientSite, Tell Tayinat]
-
A.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
-
B.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
C.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
D.
Cihanbeyli
Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
-
E.
Şehitkamil
Şehitkamil is a central district and municipality of Gaziantep in southeastern Turkey, known for its urban development and cultural institutions.
- 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: Tell Tayinat Triple: [Hatay Province, containsAncientSite, Tell Tayinat]
Generated description
Tell Tayinat is an important archaeological mound in southern Turkey known for its remains of an Iron Age Neo-Hittite city and earlier Bronze Age settlements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tell Tayinat Target entity description: Tell Tayinat is an important archaeological mound in southern Turkey known for its remains of an Iron Age Neo-Hittite city and earlier Bronze Age settlements.
-
A.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
-
B.
Nallıhan
Nallıhan is a district and town in Turkey known for its natural landscapes, including colorful rock formations and rich birdlife, located within Ankara Province.
-
C.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
D.
Cihanbeyli
Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
-
E.
Şehitkamil
Şehitkamil is a central district and municipality of Gaziantep in southeastern Turkey, known for its urban development and cultural institutions.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7043451bc8190a76ee066b779b7d7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e4976c81909ff34dcdcae96999 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b75b848190a67de2040d563f86 |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c941814081909d299df5cd714c71 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:11 p.m.