Triple
T8434550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tis Issat |
E199193
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Tis Abay
Tis Abay is a major waterfall on the Blue Nile River in Ethiopia, renowned for its dramatic cascades and scenic surroundings.
|
E734273
|
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: Tis Abay | Statement: [Tis Issat, alsoKnownAs, Tis Abay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tis Abay Context triple: [Tis Issat, alsoKnownAs, Tis Abay]
-
A.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
B.
Abasıyanık
Abasıyanık is the surname of Sait Faik Abasıyanık, a prominent 20th-century Turkish writer known for his influential short stories and depictions of Istanbul life.
-
C.
Taznatit
Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
-
D.
Tiswas
Tiswas was a chaotic and influential British Saturday-morning children's television show from the 1970s and early 1980s, known for its slapstick humor, live audience mayhem, and launching the careers of several prominent comedians.
-
E.
Tajio Kaili
Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
- 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: Tis Abay Triple: [Tis Issat, alsoKnownAs, Tis Abay]
Generated description
Tis Abay is a major waterfall on the Blue Nile River in Ethiopia, renowned for its dramatic cascades and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tis Abay Target entity description: Tis Abay is a major waterfall on the Blue Nile River in Ethiopia, renowned for its dramatic cascades and scenic surroundings.
-
A.
El Tebbin
El Tebbin is an industrial district in southern Cairo, Egypt, known for its steel and heavy manufacturing facilities.
-
B.
Abasıyanık
Abasıyanık is the surname of Sait Faik Abasıyanık, a prominent 20th-century Turkish writer known for his influential short stories and depictions of Istanbul life.
-
C.
Taznatit
Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
-
D.
Tiswas
Tiswas was a chaotic and influential British Saturday-morning children's television show from the 1970s and early 1980s, known for its slapstick humor, live audience mayhem, and launching the careers of several prominent comedians.
-
E.
Tajio Kaili
Tajio Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a905ac8190b1015e1da9b16938 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d71d9748190903ed97dde6d28f4 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1fb008988190ae8e148cd937f5c4 |
completed | April 2, 2026, 7:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce205313fc8190863dbc6c904ef1af |
completed | April 2, 2026, 7:52 a.m. |
Created at: March 30, 2026, 6:07 p.m.