Triple
T585374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thessaly |
E15145
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Karditsa
Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
|
E78579
|
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: Karditsa | Statement: [Thessaly, containsCity, Karditsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karditsa Context triple: [Thessaly, containsCity, Karditsa]
-
A.
Volos
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
B.
Trikala
Trikala is a historic city in central Greece known for its role in ancient Thessaly and its modern reputation as a model of smart, sustainable urban development.
-
C.
Kavala
Kavala is a historic coastal city in northern Greece known for its strategic harbor, Ottoman and Byzantine landmarks, and role as a major gateway to the Aegean.
-
D.
Nafplion
Nafplion is a historic seaport town in the Peloponnese region of Greece that served as the first capital of the modern Greek state.
-
E.
Kalambaka
Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
- 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: Karditsa Triple: [Thessaly, containsCity, Karditsa]
Generated description
Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karditsa Target entity description: Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
-
A.
Volos
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
B.
Trikala
Trikala is a historic city in central Greece known for its role in ancient Thessaly and its modern reputation as a model of smart, sustainable urban development.
-
C.
Kavala
Kavala is a historic coastal city in northern Greece known for its strategic harbor, Ottoman and Byzantine landmarks, and role as a major gateway to the Aegean.
-
D.
Nafplion
Nafplion is a historic seaport town in the Peloponnese region of Greece that served as the first capital of the modern Greek state.
-
E.
Kalambaka
Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9874c88190bd1e08d4689ea124 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56930dfd88190a991adafc406c5ac |
completed | March 2, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_69a569bac3f8819083b153b73caf31c2 |
completed | March 2, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56a51e1fc8190aa00945fff740927 |
completed | March 2, 2026, 10:45 a.m. |
Created at: March 1, 2026, 7:33 p.m.