Triple
T15086666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalampaka municipality |
E360291
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Diava
Diava is a small settlement within the Kalampaka municipality in the Thessaly region of central Greece.
|
E1136932
|
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: Diava | Statement: [Kalampaka municipality, contains, Diava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diava Context triple: [Kalampaka municipality, contains, Diava]
-
A.
Dovia
Dovia is a locality or frazione within the municipality of Predappio in the Emilia-Romagna region of Italy.
-
B.
Devio
Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
-
C.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
-
D.
Dianema
Dianema is a small genus of South American freshwater catfish known for their armored bodies and bottom-dwelling behavior.
-
E.
Kelevra
Kelevra is the surname of the fictional character Slevin Kelevra from the crime thriller film "Lucky Number Slevin."
- 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: Diava Triple: [Kalampaka municipality, contains, Diava]
Generated description
Diava is a small settlement within the Kalampaka municipality in the Thessaly region of central Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diava Target entity description: Diava is a small settlement within the Kalampaka municipality in the Thessaly region of central Greece.
-
A.
Dovia
Dovia is a locality or frazione within the municipality of Predappio in the Emilia-Romagna region of Italy.
-
B.
Devio
Devio is a Biamp Systems product line of conferencing solutions designed to simplify high-quality audio and video collaboration in small meeting and huddle rooms.
-
C.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
-
D.
Dianema
Dianema is a small genus of South American freshwater catfish known for their armored bodies and bottom-dwelling behavior.
-
E.
Kelevra
Kelevra is the surname of the fictional character Slevin Kelevra from the crime thriller film "Lucky Number Slevin."
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb10161fc81908aef193552ada55b |
completed | May 9, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb168eac0819098bd76bac6daa838 |
completed | May 9, 2026, 4 a.m. |
Created at: April 10, 2026, 3:03 a.m.