Triple
T10872799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalajara de Buga |
E256699
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
bugueño
A bugueño is a resident or native of Guadalajara de Buga, a historic city in the Valle del Cauca department of Colombia.
|
E890035
|
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: bugueño | Statement: [Guadalajara de Buga, hasDemonym, bugueño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bugueño Context triple: [Guadalajara de Buga, hasDemonym, bugueño]
-
A.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
B.
Buglere
Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
-
C.
Bugulma
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
-
D.
Bugio
Bugio is a small, uninhabited Portuguese island in the Desertas archipelago near Madeira, notable for its rugged terrain and protected wildlife habitats.
-
E.
bengoshi
Bengoshi are licensed legal professionals in Japan who represent clients in court, provide legal advice, and handle a wide range of legal matters.
- 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: bugueño Triple: [Guadalajara de Buga, hasDemonym, bugueño]
Generated description
A bugueño is a resident or native of Guadalajara de Buga, a historic city in the Valle del Cauca department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: bugueño Target entity description: A bugueño is a resident or native of Guadalajara de Buga, a historic city in the Valle del Cauca department of Colombia.
-
A.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
B.
Buglere
Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
-
C.
Bugulma
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
-
D.
Bugio
Bugio is a small, uninhabited Portuguese island in the Desertas archipelago near Madeira, notable for its rugged terrain and protected wildlife habitats.
-
E.
bengoshi
Bengoshi are licensed legal professionals in Japan who represent clients in court, provide legal advice, and handle a wide range of legal matters.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7dbea28819083511b56bcd7d4ce |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e0026fda3c8190b60174b252d57e12 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e00581fde08190b28b8dde4a21d59e |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.