Triple
T16270912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baix Ebre |
E394995
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Camarles
Camarles is a municipality in the Baix Ebre comarca of Catalonia, Spain, known for its agricultural landscape near the Ebro Delta.
|
E1204216
|
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: Camarles | Statement: [Baix Ebre, contains, Camarles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camarles Context triple: [Baix Ebre, contains, Camarles]
-
A.
Vacqueyras
Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
-
B.
Vidigueira
Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
-
C.
Sotres
Sotres is a small mountain village in Asturias, northern Spain, known as a popular base for hiking and accessing the Picos de Europa.
-
D.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
E.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
- 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: Camarles Triple: [Baix Ebre, contains, Camarles]
Generated description
Camarles is a municipality in the Baix Ebre comarca of Catalonia, Spain, known for its agricultural landscape near the Ebro Delta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camarles Target entity description: Camarles is a municipality in the Baix Ebre comarca of Catalonia, Spain, known for its agricultural landscape near the Ebro Delta.
-
A.
Vacqueyras
Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
-
B.
Vidigueira
Vidigueira is a municipality in Portugal’s Alentejo region, known for its wine production and historical ties to the explorer Vasco da Gama.
-
C.
Sotres
Sotres is a small mountain village in Asturias, northern Spain, known as a popular base for hiking and accessing the Picos de Europa.
-
D.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
E.
Martorell
Martorell is a town in Catalonia, Spain, known as an important industrial hub within the Barcelona metropolitan area.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e246099dd081908e268a1a0cf8a373 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bf09888190b3d90db3517a2f1e |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a00193f71548190b40feeea73b0c252 |
completed | May 10, 2026, 5:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a0def548190a1d800f858f3cb02 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 10, 2026, 5:05 a.m.