Triple
T14289451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Chios |
E354269
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Nenita
Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
|
E1091953
|
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: Nenita | Statement: [Municipality of Chios, containsSettlement, Nenita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nenita Context triple: [Municipality of Chios, containsSettlement, Nenita]
-
A.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
B.
Nene
Nene is a major river in eastern England that flows through Northamptonshire, Cambridgeshire, and Norfolk before reaching The Wash on the North Sea.
-
C.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
D.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
E.
Nita
Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
- 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: Nenita Triple: [Municipality of Chios, containsSettlement, Nenita]
Generated description
Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nenita Target entity description: Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
-
A.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
B.
Nene
Nene is a major river in eastern England that flows through Northamptonshire, Cambridgeshire, and Norfolk before reaching The Wash on the North Sea.
-
C.
Nenê
Nenê is a Brazilian professional basketball player and longtime NBA center known for his physical interior play and key contributions to both the Denver Nuggets and Washington Wizards.
-
D.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
E.
Nita
Nita is a feminine given name commonly used as a shortened or affectionate form of longer names such as Juanita.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e6dde6081908a37817e4dd22ecd |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f42ccdc81908399d8f9a2f0da31 |
completed | May 8, 2026, 1:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.