Triple
T3160002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perea |
E66078
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Peraea
Peraea is a historical region east of the Jordan River that formed part of ancient Judea during the Second Temple period.
|
E332123
|
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: Peraea | Statement: [Perea, hasAlternativeName, Peraea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peraea Context triple: [Perea, hasAlternativeName, Peraea]
-
A.
Partheniae
Partheniae were a group of disenfranchised Spartan offspring who, according to tradition, left Sparta and went on to establish the colony of Tarentum in southern Italy.
-
B.
Elateia
Elateia was an important ancient Greek city in the region of Phocis, strategically located on the main route between northern and central Greece.
-
C.
Periboea
Periboea is a figure in Greek mythology known primarily as the mother of Penelope, the faithful wife of Odysseus.
-
D.
Apamea
Apamea was an important ancient Hellenistic and Roman city in the region of Phrygia in Asia Minor, known as a commercial and strategic center.
-
E.
Pieria
Pieria is a coastal regional unit in northern Greece known for its beaches along the Aegean Sea and the nearby Mount Olympus.
- 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: Peraea Triple: [Perea, hasAlternativeName, Peraea]
Generated description
Peraea is a historical region east of the Jordan River that formed part of ancient Judea during the Second Temple period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peraea Target entity description: Peraea is a historical region east of the Jordan River that formed part of ancient Judea during the Second Temple period.
-
A.
Partheniae
Partheniae were a group of disenfranchised Spartan offspring who, according to tradition, left Sparta and went on to establish the colony of Tarentum in southern Italy.
-
B.
Elateia
Elateia was an important ancient Greek city in the region of Phocis, strategically located on the main route between northern and central Greece.
-
C.
Periboea
Periboea is a figure in Greek mythology known primarily as the mother of Penelope, the faithful wife of Odysseus.
-
D.
Apamea
Apamea was an important ancient Hellenistic and Roman city in the region of Phrygia in Asia Minor, known as a commercial and strategic center.
-
E.
Pieria
Pieria is a coastal regional unit in northern Greece known for its beaches along the Aegean Sea and the nearby Mount Olympus.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61606bc8190a8ad760d680924eb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250d2b8c81908585d9563f9b4d16 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225df6978819096c275e266263806 |
completed | March 12, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2263e62a88190bf260cfcb00a86ea |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.