Triple
T12103822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taweret |
E288251
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object |
Taurt
Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
|
E966122
|
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: Taurt | Statement: [Taweret, nameVariant, Taurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taurt Context triple: [Taweret, nameVariant, Taurt]
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
C.
Taurog
Taurog is a surname most notably associated with Norman Taurog, the Academy Award–winning American film director.
-
D.
Taurision
Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
E.
Taió
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
- 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: Taurt Triple: [Taweret, nameVariant, Taurt]
Generated description
Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taurt Target entity description: Taurt is an alternate name for Taweret, the ancient Egyptian hippopotamus goddess associated with childbirth, fertility, and protection.
-
A.
Teurnia
Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
-
B.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
C.
Taurog
Taurog is a surname most notably associated with Norman Taurog, the Academy Award–winning American film director.
-
D.
Taurision
Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
-
E.
Taió
Taió is a municipality in the state of Santa Catarina in southern Brazil, situated in the Vale do Itajaí region and known for its agricultural activities and scenic river landscapes.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915568b9881909fc9edacefb86409 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f677039481908f14fa12b9b86910 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b6769481909d0308c8f77b2ef3 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ef0a9c8190ac922562a8856def |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.