Triple
T15147342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farsala |
E361846
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
halva Farsalon
Halva Farsalon is a famous traditional Greek dessert from the town of Farsala, known for its caramelized, gelatinous semolina texture and rich buttery flavor.
|
E1140528
|
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: halva Farsalon | Statement: [Farsala, knownFor, halva Farsalon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: halva Farsalon Context triple: [Farsala, knownFor, halva Farsalon]
-
A.
Halvvasan
Halvvasan is a shorter-distance cross-country ski race in Sweden that forms part of the Vasaloppet series of events.
-
B.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
C.
Kudlu Halla
Kudlu Halla is a minor stream in the Indian state of Karnataka that serves as one of the tributaries feeding into the Bhadra River system.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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: halva Farsalon Triple: [Farsala, knownFor, halva Farsalon]
Generated description
Halva Farsalon is a famous traditional Greek dessert from the town of Farsala, known for its caramelized, gelatinous semolina texture and rich buttery flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: halva Farsalon Target entity description: Halva Farsalon is a famous traditional Greek dessert from the town of Farsala, known for its caramelized, gelatinous semolina texture and rich buttery flavor.
-
A.
Halvvasan
Halvvasan is a shorter-distance cross-country ski race in Sweden that forms part of the Vasaloppet series of events.
-
B.
Lokma
Lokma is a traditional Turkish dessert consisting of small deep-fried dough balls soaked in syrup, often served at celebrations and communal events.
-
C.
Kudlu Halla
Kudlu Halla is a minor stream in the Indian state of Karnataka that serves as one of the tributaries feeding into the Bhadra River system.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff02e648190bd10f04a374da227 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec08c37dc8190a59289e4ee76beab |
completed | May 9, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec10cd2d48190ba96885ca604a853 |
completed | May 9, 2026, 5:07 a.m. |
Created at: April 10, 2026, 3:07 a.m.