Triple
T6093594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolívar Department |
E135824
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hatillo de Loba
Hatillo de Loba is a small municipality and town located in the Bolívar Department of northern Colombia.
|
E567959
|
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: Hatillo de Loba | Statement: [Bolívar Department, contains, Hatillo de Loba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatillo de Loba Context triple: [Bolívar Department, contains, Hatillo de Loba]
-
A.
Vale do Lobo
Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
-
B.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
C.
El Matareya
El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Il Fortino
Il Fortino is a historic coastal fortification that serves as the iconic symbol and central landmark of Forte dei Marmi in Tuscany, Italy.
- 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: Hatillo de Loba Triple: [Bolívar Department, contains, Hatillo de Loba]
Generated description
Hatillo de Loba is a small municipality and town located in the Bolívar Department of northern Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatillo de Loba Target entity description: Hatillo de Loba is a small municipality and town located in the Bolívar Department of northern Colombia.
-
A.
Vale do Lobo
Vale do Lobo is a luxury seaside resort area in Portugal’s Algarve region, known for its golf courses, beaches, and upscale holiday properties.
-
B.
Morro
Morro is a village located on the island of Maio in Cape Verde, known for its coastal setting and small-community character.
-
C.
El Matareya
El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Il Fortino
Il Fortino is a historic coastal fortification that serves as the iconic symbol and central landmark of Forte dei Marmi in Tuscany, Italy.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9516ec819093e94ee8d3244e1b |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125365a7481909e40d01c2d3590aa |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125c1a230819095dd0a56309880eb |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126c641448190a826c213e8ab05af |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:12 p.m.