Triple
T15086667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalampaka municipality |
E360291
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sarachei
Sarachei is a small settlement located within the municipality of Kalampaka in the Thessaly region of Greece.
|
E1136933
|
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: Sarachei | Statement: [Kalampaka municipality, contains, Sarachei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarachei Context triple: [Kalampaka municipality, contains, Sarachei]
-
A.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
B.
Sarafand
Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
-
C.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
D.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
E.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
- 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: Sarachei Triple: [Kalampaka municipality, contains, Sarachei]
Generated description
Sarachei is a small settlement located within the municipality of Kalampaka in the Thessaly region of Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarachei Target entity description: Sarachei is a small settlement located within the municipality of Kalampaka in the Thessaly region of Greece.
-
A.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
B.
Sarafand
Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
-
C.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
D.
Shushary
Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
-
E.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
- 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.