Triple
T13182171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cres |
E313755
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Orlec
Orlec is a small village on the Croatian island of Cres, known for its traditional stone architecture and rural Mediterranean setting.
|
E1026899
|
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: Orlec | Statement: [Cres, hasSettlement, Orlec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlec Context triple: [Cres, hasSettlement, Orlec]
-
A.
Orbec
Orbec is a small commune in the Calvados department of Normandy in northwestern France, known for its traditional Norman architecture and rural charm.
-
B.
Dorcon
Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
-
C.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
E.
Orbiel
The Orbiel is a river in southern France that flows through the Aude department before joining the Aude River.
- 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: Orlec Triple: [Cres, hasSettlement, Orlec]
Generated description
Orlec is a small village on the Croatian island of Cres, known for its traditional stone architecture and rural Mediterranean setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orlec Target entity description: Orlec is a small village on the Croatian island of Cres, known for its traditional stone architecture and rural Mediterranean setting.
-
A.
Orbec
Orbec is a small commune in the Calvados department of Normandy in northwestern France, known for its traditional Norman architecture and rural charm.
-
B.
Dorcon
Dorcon is a rustic cowherd in Longus’s ancient Greek pastoral romance "Daphnis and Chloe," known for his unrequited love for Chloe and his role as a comic, sympathetic rival to Daphnis.
-
C.
Ornex
Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
E.
Orbiel
The Orbiel is a river in southern France that flows through the Aude department before joining the Aude River.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.