Triple
T18406306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duklja |
E450132
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Travunia
Travunia was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
|
E1322330
|
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: Travunia | Statement: [Duklja, borderedBy, Travunia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travunia Context triple: [Duklja, borderedBy, Travunia]
-
A.
Krakozhia
Krakozhia is a fictional Eastern European country featured in the film "The Terminal," serving as the homeland of the main character Viktor Navorski.
-
B.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
-
C.
Rumsien
Rumsien is a Native American group and language of the Ohlone people traditionally associated with the Monterey Bay area of California.
-
D.
Lumnezia
Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
-
E.
Trakiszki
Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
- 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: Travunia Triple: [Duklja, borderedBy, Travunia]
Generated description
Travunia was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Travunia Target entity description: Travunia was a medieval South Slavic principality in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
-
A.
Krakozhia
Krakozhia is a fictional Eastern European country featured in the film "The Terminal," serving as the homeland of the main character Viktor Navorski.
-
B.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
-
C.
Rumsien
Rumsien is a Native American group and language of the Ohlone people traditionally associated with the Monterey Bay area of California.
-
D.
Lumnezia
Lumnezia is a municipality and valley region in the canton of Graubünden in southeastern Switzerland, known for its Romansh-speaking population and alpine landscape.
-
E.
Trakiszki
Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51957ac7081909a2dd2b2308e4170 |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2480ec881909d92a2303fc8409f |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e341afa881909fce49af047d0a83 |
completed | May 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e3ac2f4081908e086f8efd1393ae |
completed | May 13, 2026, 2:36 a.m. |
Created at: April 10, 2026, 10:46 a.m.