Triple
T16520692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sassaresu |
E401309
|
entity |
| Predicate | isSpokenAround |
P67236
|
FINISHED |
| Object | Tissi |
E423887
|
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: Tissi | Statement: [Sassaresu, isSpokenAround, Tissi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tissi Context triple: [Sassaresu, isSpokenAround, Tissi]
-
A.
Tissi
chosen
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
B.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
C.
Tukulor
Tukulor refers to the Toucouleur people, a West African ethnic group primarily found in Senegal, Mauritania, and Mali, known historically for their role in Islamic scholarship and state-building.
-
D.
Itié
Itié is the surname of Brazilian-Mexican actress Giselle Itié, known for her work in telenovelas and films such as "The Expendables."
-
E.
Tankara
Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006088fe4881909e5b691743157700 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.