Triple
T14107146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Porvenir |
E339535
|
entity |
| Predicate | hasLocalLanguage |
P4185
|
FINISHED |
| Object | Guna |
E352691
|
NE FINISHED |
How this triple was built (2 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: [El Porvenir, hasLocalLanguage, Guna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guna Context triple: [El Porvenir, hasLocalLanguage, 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.
Guna
chosen
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.
-
C.
Ganish
Ganish is a historic village in Pakistan’s Hunza Valley, known for its ancient settlements, traditional architecture, and cultural heritage.
-
D.
Guruguha
Guruguha is the distinctive mudra (composer’s signature) adopted by the Carnatic music composer Muthuswami Dikshitar, often embedded in the lyrics of his kritis.
-
E.
Arunan
Arunan is a given name, notably borne by individuals such as Arunan Arulampalam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b699108190993f1102418ecff1 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.