Triple
T6183015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar County |
E137988
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
|
E573937
|
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: Nin | Statement: [Zadar County, hasTown, Nin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nin Context triple: [Zadar County, hasTown, Nin]
-
A.
Ner
Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
-
B.
Neste
Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
-
C.
Nōmi
Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
- 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: Nin Triple: [Zadar County, hasTown, Nin]
Generated description
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nin Target entity description: Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
-
A.
Ner
Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
-
B.
Neste
Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
-
C.
Nōmi
Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
-
D.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
E.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
- 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_69c141c30d28819095d719adc421b02d |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c14426f414819084bd3bafa81d6c00 |
completed | March 23, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144b45a148190a95095d7141ddeb0 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:19 p.m.