Triple
T6183244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Wells Square |
E137993
|
entity |
| Predicate | hasNameInCroatian |
P29131
|
FINISHED |
| Object |
Trg pet bunara
Trg pet bunara is a historic square in Zadar, Croatia, known for its five distinctive old wells and its role as a popular public gathering place.
|
E574201
|
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: Trg pet bunara | Statement: [Five Wells Square, hasNameInCroatian, Trg pet bunara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trg pet bunara Context triple: [Five Wells Square, hasNameInCroatian, Trg pet bunara]
-
A.
Broćna
Broćna is a small village in Kosovo known primarily as the birthplace of politician and former president Hashim Thaçi.
-
B.
Dorog
Dorog is a small industrial town in northern Hungary known for its historical coal mining and proximity to the Danube Bend.
-
C.
Paraćin
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Banski Suhodol
Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
- 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: Trg pet bunara Triple: [Five Wells Square, hasNameInCroatian, Trg pet bunara]
Generated description
Trg pet bunara is a historic square in Zadar, Croatia, known for its five distinctive old wells and its role as a popular public gathering place.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trg pet bunara Target entity description: Trg pet bunara is a historic square in Zadar, Croatia, known for its five distinctive old wells and its role as a popular public gathering place.
-
A.
Broćna
Broćna is a small village in Kosovo known primarily as the birthplace of politician and former president Hashim Thaçi.
-
B.
Dorog
Dorog is a small industrial town in northern Hungary known for its historical coal mining and proximity to the Danube Bend.
-
C.
Paraćin
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Banski Suhodol
Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06100c2b0819097f287e86f63d590 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c6b5888190983bff620c7663cc |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c1472997d081909266b0e64fdbfe96 |
completed | March 23, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c147b5214c819082c20480965842be |
completed | March 23, 2026, 2:01 p.m. |
Created at: March 22, 2026, 4:19 p.m.