Triple
T19337699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anazarbus |
E483663
|
entity |
| Predicate | hasAncientName |
P20952
|
FINISHED |
| Object |
Anazarba
Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
|
E1377217
|
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: Anazarba | Statement: [Anazarbus, hasAncientName, Anazarba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anazarba Context triple: [Anazarbus, hasAncientName, Anazarba]
-
A.
Azuara
Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
-
B.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
C.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
D.
Azazga
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
-
E.
Aranos
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap 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: Anazarba Triple: [Anazarbus, hasAncientName, Anazarba]
Generated description
Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anazarba Target entity description: Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
-
A.
Azuara
Azuara is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and historical heritage.
-
B.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
C.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
D.
Azazga
Azazga is a significant town in northern Algeria’s Kabylie region, known as a local cultural and economic center for the Amazigh (Berber) population.
-
E.
Aranos
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61646e89081908c9f1d2cf557672c |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b1d186881908294f712a7c47330 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073bc941688190af3b7daee5c5d7e3 |
completed | May 15, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c574c808190b2ae6df5477c27bb |
completed | May 15, 2026, 3:31 p.m. |
Created at: April 10, 2026, 1:33 p.m.