Triple
T19924130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubrovnik-Neretva County |
E478879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ston
Ston is a historic coastal town in southern Croatia known for its medieval defensive walls and traditional saltworks.
|
E1402188
|
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: Ston | Statement: [Dubrovnik-Neretva County, contains, Ston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ston Context triple: [Dubrovnik-Neretva County, contains, Ston]
-
A.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
B.
Stenen
Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
E.
Stam
Stam is a Dutch surname most notably associated with Mart Stam, a pioneering modernist architect and furniture designer.
- 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: Ston Triple: [Dubrovnik-Neretva County, contains, Ston]
Generated description
Ston is a historic coastal town in southern Croatia known for its medieval defensive walls and traditional saltworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ston Target entity description: Ston is a historic coastal town in southern Croatia known for its medieval defensive walls and traditional saltworks.
-
A.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
B.
Stenen
Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
-
C.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
-
D.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
E.
Stam
Stam is a Dutch surname most notably associated with Mart Stam, a pioneering modernist architect and furniture designer.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c88c548190b9b9eccbdd07d977 |
completed | April 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea56ae608190815a66c89dadcb9e |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f2bc1474819092902f88b3309e0d |
completed | May 16, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f376f5388190989a0460528945df |
completed | May 16, 2026, 4:32 a.m. |
Created at: April 10, 2026, 1:53 p.m.