Triple
T22606557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calamocha |
E566576
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
San Esteban
San Esteban is a small locality within the municipality of Calamocha in the province of Teruel, Aragon, Spain.
|
E1546554
|
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: San Esteban | Statement: [Calamocha, hasSubdivision, San Esteban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Esteban Context triple: [Calamocha, hasSubdivision, San Esteban]
-
A.
San Esteban
San Esteban is a Chilean municipality and town located in the Los Andes Province of the Valparaíso Region, known for its agricultural activities and Andean foothill landscapes.
-
B.
San Esteban
San Esteban is a municipality in eastern Honduras known for its rural communities, agricultural activities, and location within the Olancho Department.
-
C.
San Esteban
San Esteban is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
-
D.
San Isidro
San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
-
E.
San Isidro
San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
- 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: San Esteban Triple: [Calamocha, hasSubdivision, San Esteban]
Generated description
San Esteban is a small locality within the municipality of Calamocha in the province of Teruel, Aragon, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Esteban Target entity description: San Esteban is a small locality within the municipality of Calamocha in the province of Teruel, Aragon, Spain.
-
A.
San Esteban
San Esteban is a Chilean municipality and town located in the Los Andes Province of the Valparaíso Region, known for its agricultural activities and Andean foothill landscapes.
-
B.
San Esteban
San Esteban is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
-
C.
San Esteban
San Esteban is a municipality in eastern Honduras known for its rural communities, agricultural activities, and location within the Olancho Department.
-
D.
San Isidro
San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
-
E.
San Isidro
San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4df72f2c819095311b64d5c9a400 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b51e5b7a0819098f9b93051c27ca2 |
completed | May 18, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b529631048190ae49bb7ca38d669e |
completed | May 18, 2026, 5:55 p.m. |
Created at: April 17, 2026, 2:54 p.m.