Triple
T16799953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Ore Mountain mining region |
E408328
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Thum
Thum is a small town in Germany’s Ore Mountains historically shaped by Saxon mining and related regional industries.
|
E1233890
|
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: Thum | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Thum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thum Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Thum]
-
A.
Thumrait
Thumrait is a town in Oman’s Dhofar Governorate known historically as a Bedouin settlement and strategically for its Royal Air Force of Oman air base.
-
B.
Thumby
Thumby is a small village located in the Schwansen peninsula region of Schleswig-Holstein in northern Germany.
-
C.
Thini
Thini is a traditional Thakali village in Nepal’s Mustang region, known for its preserved culture, stone houses, and panoramic views of the Annapurna and Dhaulagiri ranges.
-
D.
Tham
Tham is a personal name used as a variant form of the name Tan in certain cultural and linguistic contexts.
-
E.
Tumasik
Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
- 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: Thum Triple: [Saxon Ore Mountain mining region, hasImportantTown, Thum]
Generated description
Thum is a small town in Germany’s Ore Mountains historically shaped by Saxon mining and related regional industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thum Target entity description: Thum is a small town in Germany’s Ore Mountains historically shaped by Saxon mining and related regional industries.
-
A.
Thumrait
Thumrait is a town in Oman’s Dhofar Governorate known historically as a Bedouin settlement and strategically for its Royal Air Force of Oman air base.
-
B.
Thumby
Thumby is a small village located in the Schwansen peninsula region of Schleswig-Holstein in northern Germany.
-
C.
Thini
Thini is a traditional Thakali village in Nepal’s Mustang region, known for its preserved culture, stone houses, and panoramic views of the Annapurna and Dhaulagiri ranges.
-
D.
Tham
Tham is a personal name used as a variant form of the name Tan in certain cultural and linguistic contexts.
-
E.
Tumasik
Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2acd3548190a5f6ce7d1cf74117 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1299ac81908e9f1eebc3424bb9 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ac2ab65c819091d22cf52f16ef94 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac9a854881909624d52db76fbb57 |
completed | May 10, 2026, 4:04 p.m. |
Created at: April 10, 2026, 5:22 a.m.