Triple
T4670779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neocaesarea in Pontus |
E102955
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object |
Cabira
Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
|
E460802
|
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: Cabira | Statement: [Neocaesarea in Pontus, previousName, Cabira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabira Context triple: [Neocaesarea in Pontus, previousName, Cabira]
-
A.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Tadjoura
Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
-
D.
Beji
Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the 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: Cabira Triple: [Neocaesarea in Pontus, previousName, Cabira]
Generated description
Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabira Target entity description: Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
-
A.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
-
B.
Sikasso
Sikasso is a major city in southern Mali known as an important agricultural and commercial center near the borders with Burkina Faso and Côte d'Ivoire.
-
C.
Tadjoura
Tadjoura is a historic coastal town in Djibouti on the Gulf of Tadjoura, known as one of the country’s oldest settlements and a traditional trading hub.
-
D.
Beji
Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd634ef5608190925663e988e3585b |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0390c238819089fb54648dfe1e64 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0542daf08190b792855c8129ac50 |
completed | March 21, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05c1dcd48190a08a5748e86a5ac8 |
completed | March 21, 2026, 2:43 a.m. |
Created at: March 20, 2026, 1:15 p.m.