Triple
T8715152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tal (street) |
E206874
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Isartor |
E753878
|
NE FINISHED |
How this triple was built (2 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: Isartor | Statement: [Tal (street), connects, Isartor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isartor Context triple: [Tal (street), connects, Isartor]
-
A.
Isartor
chosen
Isartor is one of Munich’s historic city gates, a preserved medieval structure marking the eastern entrance to the old town.
-
B.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
C.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
D.
Entissar
Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
-
E.
Alaior
Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42998df88190a6eba28c2efb2030 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.