Triple
T3796143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribera d’Ebre |
E89774
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ginestar
Ginestar is a small village in Catalonia, Spain, known for its agricultural landscape along the Ebro River.
|
E389588
|
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: Ginestar | Statement: [Ribera d’Ebre, containsSettlement, Ginestar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginestar Context triple: [Ribera d’Ebre, containsSettlement, Ginestar]
-
A.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
-
B.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
C.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
D.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
-
E.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
- 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: Ginestar Triple: [Ribera d’Ebre, containsSettlement, Ginestar]
Generated description
Ginestar is a small village in Catalonia, Spain, known for its agricultural landscape along the Ebro River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginestar Target entity description: Ginestar is a small village in Catalonia, Spain, known for its agricultural landscape along the Ebro River.
-
A.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
-
B.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
C.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
D.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
-
E.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee79f09bc8190b7514a11a030eba5 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05ea5e081908c4714ca35aed48b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2ed663c8190be431c7aae60259e |
completed | March 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f72eba988190acb96b44fc8b7c30 |
completed | March 14, 2026, 5:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.