Triple
T14988480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ćuprija |
E373767
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ĆU
ĆU is the regional vehicle registration code assigned to the Serbian town and municipality of Ćuprija.
|
E1129544
|
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: ĆU | Statement: [Ćuprija, vehicleRegistrationCode, ĆU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ĆU Context triple: [Ćuprija, vehicleRegistrationCode, ĆU]
-
A.
Ćići
Ćići are a historical population from the Istrian region, traditionally associated with the Istro-Romanian-speaking community and known for their distinct cultural and linguistic heritage.
-
B.
Uzeste
Uzeste is a small commune in southwestern France notable for its historic church that houses the tomb of Pope Clement V.
-
C.
Uchali
Uchali, also known as Uluch Ali, was a prominent 16th-century Ottoman admiral and corsair who rose from captivity to become Kapudan Pasha (grand admiral) of the Ottoman fleet.
-
D.
Kuci
Kuci is the historical name of Kuqa, an ancient oasis town and important Buddhist cultural center along the Silk Road in what is now Xinjiang, China.
-
E.
Uherka
Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
- 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: ĆU Triple: [Ćuprija, vehicleRegistrationCode, ĆU]
Generated description
ĆU is the regional vehicle registration code assigned to the Serbian town and municipality of Ćuprija.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ĆU Target entity description: ĆU is the regional vehicle registration code assigned to the Serbian town and municipality of Ćuprija.
-
A.
Ćići
Ćići are a historical population from the Istrian region, traditionally associated with the Istro-Romanian-speaking community and known for their distinct cultural and linguistic heritage.
-
B.
Uzeste
Uzeste is a small commune in southwestern France notable for its historic church that houses the tomb of Pope Clement V.
-
C.
Uchali
Uchali, also known as Uluch Ali, was a prominent 16th-century Ottoman admiral and corsair who rose from captivity to become Kapudan Pasha (grand admiral) of the Ottoman fleet.
-
D.
Kuci
Kuci is the historical name of Kuqa, an ancient oasis town and important Buddhist cultural center along the Silk Road in what is now Xinjiang, China.
-
E.
Uherka
Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8c036bfc8190b01bf2128403f557 |
completed | May 9, 2026, 1:21 a.m. |
| NEDg | Description generation | batch_69fe8dc977448190a01c55d99d4d9034 |
completed | May 9, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8e9e62a4819089b3568d277d5262 |
completed | May 9, 2026, 1:32 a.m. |
Created at: April 10, 2026, 2:53 a.m.