Triple
T13769251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortés Department |
E330832
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Santa Rita
Santa Rita is a municipality and town located in the Cortés Department of northwestern Honduras.
|
E1059925
|
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: Santa Rita | Statement: [Cortés Department, containsCity, Santa Rita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rita Context triple: [Cortés Department, containsCity, Santa Rita]
-
A.
Santa Rita
Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
-
B.
Santa Rita
Santa Rita is a municipality in the province of Pampanga in the Philippines, known for its agricultural products and traditional local festivals.
-
C.
Santa Rita
Santa Rita is a residential district in the city of Turin, Italy, known for its urban character and proximity to major sports and public facilities.
-
D.
Santa Rita
Santa Rita is a village in Guam known for its proximity to U.S. military installations and its location along the island’s western coast.
-
E.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, 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: Santa Rita Triple: [Cortés Department, containsCity, Santa Rita]
Generated description
Santa Rita is a municipality and town located in the Cortés Department of northwestern Honduras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Rita Target entity description: Santa Rita is a municipality and town located in the Cortés Department of northwestern Honduras.
-
A.
Santa Rita
Santa Rita is a municipality in the Brazilian state of Paraíba, known for its proximity to the state capital João Pessoa and its role in the region’s industrial and economic activities.
-
B.
Santa Rita
Santa Rita is a municipality in the province of Pampanga in the Philippines, known for its agricultural products and traditional local festivals.
-
C.
Santa Rita
Santa Rita is a residential district in the city of Turin, Italy, known for its urban character and proximity to major sports and public facilities.
-
D.
Santa Rita
Santa Rita is a village in Guam known for its proximity to U.S. military installations and its location along the island’s western coast.
-
E.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a9f5549c81908a1a0b080acc3396 |
completed | May 3, 2026, 8:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aafceea881908737a3d7613db2d5 |
completed | May 3, 2026, 8:07 p.m. |
Created at: April 9, 2026, 10:10 p.m.