Triple
T20305353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vöcklabruck District |
E505595
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Timelkam
Timelkam is a market town in Upper Austria known for its industrial facilities and proximity to the city of Vöcklabruck.
|
E1423015
|
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: Timelkam | Statement: [Vöcklabruck District, containsSettlement, Timelkam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timelkam Context triple: [Vöcklabruck District, containsSettlement, Timelkam]
-
A.
Timav
Timav is a short karst river in northeastern Italy and southwestern Slovenia known for its underground course and resurgence near the Adriatic Sea.
-
B.
Timehri
Timehri is a village in Guyana best known for hosting the country’s main international airport, the Cheddi Jagan International Airport.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Timung
Timung is one of the principal clans of the Karbi people, an indigenous ethnic group from Northeast India.
-
E.
Timet
Timet is a leading global producer and supplier of titanium metal products used primarily in aerospace, industrial, and military applications.
- 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: Timelkam Triple: [Vöcklabruck District, containsSettlement, Timelkam]
Generated description
Timelkam is a market town in Upper Austria known for its industrial facilities and proximity to the city of Vöcklabruck.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timelkam Target entity description: Timelkam is a market town in Upper Austria known for its industrial facilities and proximity to the city of Vöcklabruck.
-
A.
Timav
Timav is a short karst river in northeastern Italy and southwestern Slovenia known for its underground course and resurgence near the Adriatic Sea.
-
B.
Timehri
Timehri is a village in Guyana best known for hosting the country’s main international airport, the Cheddi Jagan International Airport.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Timung
Timung is one of the principal clans of the Karbi people, an indigenous ethnic group from Northeast India.
-
E.
Timet
Timet is a leading global producer and supplier of titanium metal products used primarily in aerospace, industrial, and military applications.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08611c2f248190bf7c69536022ee8a |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0862421d9c8190bcc0c2c6dc1e9936 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08632b4618819085a4cc20aa297c70 |
completed | May 16, 2026, 12:29 p.m. |
Created at: April 16, 2026, 11:18 a.m.