Triple
T3368123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darién Province |
E70885
|
entity |
| Predicate | indigenousPeoples |
P1898
|
FINISHED |
| Object |
Guna
The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
|
E352691
|
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: Guna | Statement: [Darién Province, indigenousPeoples, Guna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guna Context triple: [Darién Province, indigenousPeoples, Guna]
-
A.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
-
B.
Gan
Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
-
C.
Mani
Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
-
D.
Ghunsa
Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
-
E.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
- 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: Guna Triple: [Darién Province, indigenousPeoples, Guna]
Generated description
The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guna Target entity description: The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
-
A.
Guna
Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
-
B.
Gan
Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
-
C.
Mani
Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
-
D.
Ghunsa
Ghunsa is a remote Himalayan village in eastern Nepal that serves as a key gateway and base for treks and expeditions around the Kangchenjunga region.
-
E.
Veeragase
Veeragase is a vigorous and ritualistic folk dance-drama of Karnataka, India, traditionally performed during festivals to depict stories of valor from Hindu mythology.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28a813c81909d1c71fe577e6681 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343664cc81909793820377b4bdc1 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:13 p.m.