Triple
T9010017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latium Adiectum |
E215443
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ager Cora
Ager Cora was the territory associated with the ancient Latin city of Cora (modern Cori) in southern Latium, Italy.
|
E773435
|
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: Ager Cora | Statement: [Latium Adiectum, hasPart, Ager Cora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ager Cora Context triple: [Latium Adiectum, hasPart, Ager Cora]
-
A.
Taygeta
Taygeta is one of the prominent stars in the Pleiades (Seven Sisters) open star cluster in the constellation Taurus.
-
B.
Melenara
Melenara is a coastal neighborhood and beach area in the municipality of Telde on the island of Gran Canaria, Spain.
-
C.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
D.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
E.
Hyblaean Mountains
The Hyblaean Mountains are a limestone mountain range in southeastern Sicily, Italy, known for their rugged plateaus, deep valleys, and rich archaeological and agricultural landscape.
- 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: Ager Cora Triple: [Latium Adiectum, hasPart, Ager Cora]
Generated description
Ager Cora was the territory associated with the ancient Latin city of Cora (modern Cori) in southern Latium, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ager Cora Target entity description: Ager Cora was the territory associated with the ancient Latin city of Cora (modern Cori) in southern Latium, Italy.
-
A.
Taygeta
Taygeta is one of the prominent stars in the Pleiades (Seven Sisters) open star cluster in the constellation Taurus.
-
B.
Melenara
Melenara is a coastal neighborhood and beach area in the municipality of Telde on the island of Gran Canaria, Spain.
-
C.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
D.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
E.
Hyblaean Mountains
The Hyblaean Mountains are a limestone mountain range in southeastern Sicily, Italy, known for their rugged plateaus, deep valleys, and rich archaeological and agricultural landscape.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9a11948190a43f60d0df71b1af |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdd80d5ac8190862704a62ac1c942 |
completed | April 3, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfde1eb8588190859a015f61d8f433 |
completed | April 3, 2026, 3:34 p.m. |
Created at: March 30, 2026, 7:06 p.m.