Triple
T6596192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gharnāṭa |
E148480
|
entity |
| Predicate | alternateTransliteration |
P5923
|
FINISHED |
| Object |
Garnata
Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
|
E607141
|
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: Garnata | Statement: [Gharnāṭa, alternateTransliteration, Garnata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garnata Context triple: [Gharnāṭa, alternateTransliteration, Garnata]
-
A.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
B.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
C.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
D.
Güemes
Güemes is a Spanish surname most notably associated with Argentine independence leader Martín Miguel de Güemes.
-
E.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
- 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: Garnata Triple: [Gharnāṭa, alternateTransliteration, Garnata]
Generated description
Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garnata Target entity description: Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
-
A.
Garamas
Garamas is a minor figure in Greek mythology known primarily as a descendant of the Cretan princess Acacallis.
-
B.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
C.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
D.
Güemes
Güemes is a Spanish surname most notably associated with Argentine independence leader Martín Miguel de Güemes.
-
E.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeecdd4c819092b87f4c91883154 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42fc9ec8190a6bb19010337d516 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.