Triple
T11205037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olt County |
E265137
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Caracal
Caracal is a town in southern Romania known as an administrative and cultural center of Olt County.
|
E911193
|
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: Caracal | Statement: [Olt County, hasTown, Caracal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caracal Context triple: [Olt County, hasTown, Caracal]
-
A.
Gepard
The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
-
B.
Caracal caracal
Caracal caracal is a medium-sized wild cat native to Africa, the Middle East, Central Asia, and India, known for its distinctive long black ear tufts and powerful, agile hunting abilities.
-
C.
Napier Lion
The Napier Lion was a powerful British W12 aircraft engine widely used in high-performance military and racing aircraft during the 1920s and early 1930s.
-
D.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
E.
GAZelle
GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
- 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: Caracal Triple: [Olt County, hasTown, Caracal]
Generated description
Caracal is a town in southern Romania known as an administrative and cultural center of Olt County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caracal Target entity description: Caracal is a town in southern Romania known as an administrative and cultural center of Olt County.
-
A.
Gepard
The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
-
B.
Caracal caracal
Caracal caracal is a medium-sized wild cat native to Africa, the Middle East, Central Asia, and India, known for its distinctive long black ear tufts and powerful, agile hunting abilities.
-
C.
Napier Lion
The Napier Lion was a powerful British W12 aircraft engine widely used in high-performance military and racing aircraft during the 1920s and early 1930s.
-
D.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
E.
GAZelle
GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e49d37989881909c7e75ddfff06726 |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49f41a1f8819087cc15527dc7ff63 |
completed | April 19, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.