Triple
T16595602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrhaebia |
E403196
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Dium (Perrhaebian)
Dium (Perrhaebian) was an ancient Greek city of the Perrhaebian region in Thessaly, known from classical sources as a local urban center of that area.
|
E1222832
|
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: Dium (Perrhaebian) | Statement: [Perrhaebia, hasCity, Dium (Perrhaebian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dium (Perrhaebian) Context triple: [Perrhaebia, hasCity, Dium (Perrhaebian)]
-
A.
Dagomys
Dagomys is a coastal resort settlement on the Black Sea in the Sochi area of Krasnodar Krai, Russia, known for its beaches and subtropical climate.
-
B.
Decumano
Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
-
C.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
D.
Derbion
Derbion is a major retail and leisure shopping centre located in the city centre of Derby, England.
-
E.
Dumyat
Dumyat is a prominent hill in central Scotland known for its panoramic views over Stirling, the Forth Valley, and the surrounding Ochil Hills.
- 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: Dium (Perrhaebian) Triple: [Perrhaebia, hasCity, Dium (Perrhaebian)]
Generated description
Dium (Perrhaebian) was an ancient Greek city of the Perrhaebian region in Thessaly, known from classical sources as a local urban center of that area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dium (Perrhaebian) Target entity description: Dium (Perrhaebian) was an ancient Greek city of the Perrhaebian region in Thessaly, known from classical sources as a local urban center of that area.
-
A.
Dagomys
Dagomys is a coastal resort settlement on the Black Sea in the Sochi area of Krasnodar Krai, Russia, known for its beaches and subtropical climate.
-
B.
Decumano
Decumano was the central pedestrian boulevard of Expo 2015 in Milan, along which the majority of national pavilions and exhibition spaces were arranged.
-
C.
Daulida
Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
-
D.
Derbion
Derbion is a major retail and leisure shopping centre located in the city centre of Derby, England.
-
E.
Dumyat
Dumyat is a prominent hill in central Scotland known for its panoramic views over Stirling, the Forth Valley, and the surrounding Ochil Hills.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759fe6ec81908c5321dcba558269 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007825547c81909230ac39761fba96 |
completed | May 10, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00788e103481908d40bbe4a3cb1695 |
completed | May 10, 2026, 12:22 p.m. |
Created at: April 10, 2026, 5:16 a.m.