Triple
T19841137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitzbühel District |
E476730
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Angath
Angath is a small municipality in the Austrian state of Tyrol, situated in the Kitzbühel District in the Alps.
|
E1398789
|
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: Angath | Statement: [Kitzbühel District, contains, Angath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angath Context triple: [Kitzbühel District, contains, Angath]
-
A.
Nellai
Nellai is a commonly used local name for the South Indian city of Tirunelveli in Tamil Nadu, known for its historic temples and cultural heritage.
-
B.
Lagenantha
Lagenantha is a genus of flowering plants in the amaranth family subfamily Salsoloideae, which includes many salt-tolerant and arid-adapted species.
-
C.
Nannilam
Nannilam is a small town in the Tiruvarur district of Tamil Nadu, India, known for its traditional Tamil culture and rural setting.
-
D.
Anjra
Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
-
E.
Annamalai
Annamalai is a popular 1992 Tamil-language action drama film starring Rajinikanth, known for its rags-to-riches storyline and iconic performances.
- 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: Angath Triple: [Kitzbühel District, contains, Angath]
Generated description
Angath is a small municipality in the Austrian state of Tyrol, situated in the Kitzbühel District in the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angath Target entity description: Angath is a small municipality in the Austrian state of Tyrol, situated in the Kitzbühel District in the Alps.
-
A.
Nellai
Nellai is a commonly used local name for the South Indian city of Tirunelveli in Tamil Nadu, known for its historic temples and cultural heritage.
-
B.
Lagenantha
Lagenantha is a genus of flowering plants in the amaranth family subfamily Salsoloideae, which includes many salt-tolerant and arid-adapted species.
-
C.
Nannilam
Nannilam is a small town in the Tiruvarur district of Tamil Nadu, India, known for its traditional Tamil culture and rural setting.
-
D.
Anjra
Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
-
E.
Annamalai
Annamalai is a popular 1992 Tamil-language action drama film starring Rajinikanth, known for its rags-to-riches storyline and iconic performances.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d438c0208190a6d5b6781b99d37e |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d8082bfc81909db58a0477c4d55f |
completed | May 16, 2026, 2:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d8744bdc8190adfcc428ff55e790 |
completed | May 16, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:51 p.m.