Triple
T17412324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esna |
E423398
|
entity |
| Predicate | hasAncientName |
P20952
|
FINISHED |
| Object |
Tasenet
Tasenet is the ancient Egyptian name for the city later known as Esna, a significant religious and trading center on the west bank of the Nile.
|
E1267347
|
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: Tasenet | Statement: [Esna, hasAncientName, Tasenet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasenet Context triple: [Esna, hasAncientName, Tasenet]
-
A.
Tasenetnofret
Tasenetnofret is an ancient Egyptian goddess venerated as a protective and benevolent deity, particularly associated with the region and cult center of Kom Ombo.
-
B.
Tas
Tas is a statue located at the Millennium Monument, likely representing a notable historical or cultural figure commemorated at the site.
-
C.
Taston
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
-
D.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
E.
Tinetto
Tinetto is a small rocky island off the Ligurian coast of Italy, near La Spezia, known for its natural beauty and historical monastic ruins.
- 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: Tasenet Triple: [Esna, hasAncientName, Tasenet]
Generated description
Tasenet is the ancient Egyptian name for the city later known as Esna, a significant religious and trading center on the west bank of the Nile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tasenet Target entity description: Tasenet is the ancient Egyptian name for the city later known as Esna, a significant religious and trading center on the west bank of the Nile.
-
A.
Tasenetnofret
Tasenetnofret is an ancient Egyptian goddess venerated as a protective and benevolent deity, particularly associated with the region and cult center of Kom Ombo.
-
B.
Tas
Tas is a statue located at the Millennium Monument, likely representing a notable historical or cultural figure commemorated at the site.
-
C.
Taston
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
-
D.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
E.
Tinetto
Tinetto is a small rocky island off the Ligurian coast of Italy, near La Spezia, known for its natural beauty and historical monastic ruins.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0b56788190ba012788f32afb78 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7fdb4348190a905b476379c3245 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a886818881909f237f69c6d77f93 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:46 a.m.