Triple
T16469356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Paz Department |
E400018
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Emigdio
San Emigdio is a municipality in the La Paz Department of El Salvador, known as a small local administrative and rural community center.
|
E1215422
|
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 Emigdio | Statement: [La Paz Department, hasMunicipality, San Emigdio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Emigdio Context triple: [La Paz Department, hasMunicipality, San Emigdio]
-
A.
San Donaci
San Donaci is a small town and comune in the Apulia region of southern Italy, known for its agricultural economy and production of wine and olive oil.
-
B.
San Rosendo
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
-
C.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
D.
San Gregorio
San Gregorio is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
-
E.
San Gregorio
San Gregorio is a sparsely populated Chilean commune in the Magallanes Region, known for its Patagonian steppe landscapes and historic estancias (ranches).
- 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 Emigdio Triple: [La Paz Department, hasMunicipality, San Emigdio]
Generated description
San Emigdio is a municipality in the La Paz Department of El Salvador, known as a small local administrative and rural community center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Emigdio Target entity description: San Emigdio is a municipality in the La Paz Department of El Salvador, known as a small local administrative and rural community center.
-
A.
San Donaci
San Donaci is a small town and comune in the Apulia region of southern Italy, known for its agricultural economy and production of wine and olive oil.
-
B.
San Rosendo
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
-
C.
Coloma
Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
-
D.
San Gregorio
San Gregorio is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
-
E.
San Gregorio
San Gregorio is a sparsely populated Chilean commune in the Magallanes Region, known for its Patagonian steppe landscapes and historic estancias (ranches).
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5af4308190bd023624de35027f |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:11 a.m.