Triple
T35758330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockenheimring |
E1033504
|
entity |
| Predicate | historicLayoutCharacteristic |
P202800
|
FINISHED |
| Object | very long forest straights |
—
|
LITERAL 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: very long forest straights | Statement: [Hockenheimring, historicLayoutCharacteristic, very long forest straights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicLayoutCharacteristic Context triple: [Hockenheimring, historicLayoutCharacteristic, very long forest straights]
-
A.
historicalCharacteristic
Indicates that an entity possesses a trait, feature, or quality that is rooted in or defined by its history or past events.
-
B.
historicLocation
Indicates that an entity is situated in or associated with a place of historical significance.
-
C.
typographicLegacy
Indicates a relationship where one typographic style, convention, or feature is inherited from, derived from, or historically influenced by another.
-
D.
historicSystem
Indicates that the system or method in question existed or was in use in the past and is now considered of historical significance rather than current or modern.
-
E.
historicalStructure
Indicates that the subject is a structure recognized for its historical significance or heritage value.
- F. None of above. chosen
Provenance (4 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_6a00bc06bf3081908973b6c05797299f |
completed | May 10, 2026, 5:10 p.m. |
Created at: May 3, 2026, 4:06 p.m.