Triple
T10617471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capel Tegid |
E276158
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Tegid
Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
|
E876121
|
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: Tegid | Statement: [Capel Tegid, namedAfter, Tegid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegid Context triple: [Capel Tegid, namedAfter, Tegid]
-
A.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
B.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
C.
Tiges
Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
-
D.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
E.
Tukums
Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
- 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: Tegid Triple: [Capel Tegid, namedAfter, Tegid]
Generated description
Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tegid Target entity description: Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
-
A.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
B.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
C.
Tiges
Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
-
D.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
E.
Tukums
Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b7bb7108190b0f1cbe4117abec0 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96dee84f48190bf5b0cb1115a8bba |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9708824208190acf75933962d690f |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 8, 2026, 7:33 p.m.