Triple
T16060515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baix Camp |
E389596
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Alforja
Alforja is a municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
|
E1191110
|
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: Alforja | Statement: [Baix Camp, containsMunicipality, Alforja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alforja Context triple: [Baix Camp, containsMunicipality, Alforja]
-
A.
Matalascañas
Matalascañas is a popular seaside resort town in southern Spain known for its long sandy beaches and proximity to Doñana National Park.
-
B.
Ferrería
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
-
C.
Franconero
Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
-
D.
Armería
Armería is a town in the Mexican state of Colima known primarily as the municipal seat of the surrounding Armería Municipality.
-
E.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
- 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: Alforja Triple: [Baix Camp, containsMunicipality, Alforja]
Generated description
Alforja is a municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alforja Target entity description: Alforja is a municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
-
A.
Matalascañas
Matalascañas is a popular seaside resort town in southern Spain known for its long sandy beaches and proximity to Doñana National Park.
-
B.
Ferrería
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
-
C.
Franconero
Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
-
D.
Armería
Armería is a town in the Mexican state of Colima known primarily as the municipal seat of the surrounding Armería Municipality.
-
E.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837850288190910ef37d6484c600 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe88a608190bc0a0cbfdb71e81d |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdce9591c81909e6bb5c13ddf84cd |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffddb0ff848190ace70b55d9861040 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.