Triple
T13263848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlovac County |
E315865
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tounj
Tounj is a small town and municipality in central Croatia known for its historic stone bridge and surrounding karst landscape.
|
E1030820
|
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: Tounj | Statement: [Karlovac County, hasSettlement, Tounj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tounj Context triple: [Karlovac County, hasSettlement, Tounj]
-
A.
Tourtour
Tourtour is a picturesque hilltop village in southeastern France, often called the "village in the sky" for its elevated views over Provence.
-
B.
Tuni
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
-
C.
Lebou
The Lebou are a coastal West African ethnic group primarily found around Dakar, Senegal, known historically as skilled fishermen and early urban settlers of the Cap-Vert Peninsula.
-
D.
Khenchela
Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
-
E.
Béja
Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
- 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: Tounj Triple: [Karlovac County, hasSettlement, Tounj]
Generated description
Tounj is a small town and municipality in central Croatia known for its historic stone bridge and surrounding karst landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tounj Target entity description: Tounj is a small town and municipality in central Croatia known for its historic stone bridge and surrounding karst landscape.
-
A.
Tourtour
Tourtour is a picturesque hilltop village in southeastern France, often called the "village in the sky" for its elevated views over Provence.
-
B.
Tuni
Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
-
C.
Lebou
The Lebou are a coastal West African ethnic group primarily found around Dakar, Senegal, known historically as skilled fishermen and early urban settlers of the Cap-Vert Peninsula.
-
D.
Khenchela
Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
-
E.
Béja
Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.