Triple
T17243533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zala County |
E418562
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Zalakaros
Zalakaros is a small Hungarian spa town renowned for its thermal baths and wellness tourism.
|
E1258599
|
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: Zalakaros | Statement: [Zala County, hasTown, Zalakaros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zalakaros Context triple: [Zala County, hasTown, Zalakaros]
-
A.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
B.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
C.
Zarathos
Zarathos is a powerful demonic entity in Marvel Comics best known as the hellish spirit bound to Ghost Rider and a recurring supernatural adversary to various mystical heroes.
-
D.
Zagara
Zagara is a prominent Zerg broodmother and military commander in the StarCraft universe, known for leading the Swarm in Kerrigan’s absence.
-
E.
Sothoryos
Sothoryos is a vast, largely unexplored southern continent in the world of "A Song of Ice and Fire," known for its dense jungles, deadly diseases, and mysterious, sparsely documented civilizations.
- 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: Zalakaros Triple: [Zala County, hasTown, Zalakaros]
Generated description
Zalakaros is a small Hungarian spa town renowned for its thermal baths and wellness tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zalakaros Target entity description: Zalakaros is a small Hungarian spa town renowned for its thermal baths and wellness tourism.
-
A.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
B.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
C.
Zarathos
Zarathos is a powerful demonic entity in Marvel Comics best known as the hellish spirit bound to Ghost Rider and a recurring supernatural adversary to various mystical heroes.
-
D.
Zagara
Zagara is a prominent Zerg broodmother and military commander in the StarCraft universe, known for leading the Swarm in Kerrigan’s absence.
-
E.
Sothoryos
Sothoryos is a vast, largely unexplored southern continent in the world of "A Song of Ice and Fire," known for its dense jungles, deadly diseases, and mysterious, sparsely documented civilizations.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21bb5c8190ad960f231fe54665 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01718311a48190890c770f571852c8 |
completed | May 11, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01721f5b9081909a8bc817ba0a5986 |
completed | May 11, 2026, 6:07 a.m. |
Created at: April 10, 2026, 5:39 a.m.