Triple
T24602637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid city street network |
E608870
|
entity |
| Predicate | hasHistoricalCorePattern |
P86463
|
FINISHED |
| Object | medieval irregular street layout |
—
|
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: medieval irregular street layout | Statement: [Madrid city street network, hasHistoricalCorePattern, medieval irregular street layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalCorePattern Context triple: [Madrid city street network, hasHistoricalCorePattern, medieval irregular street layout]
-
A.
hasHistoricalMigrationPattern
Indicates that an entity exhibits a characteristic pattern of movement or relocation over time, typically observed across historical periods or generations.
-
B.
hasHistoricFeatures
chosen
Indicates that something possesses characteristics, elements, or attributes of historical significance.
-
C.
hasHistoricalPrecursor
Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
-
D.
historicalCoreOf
Indicates that one entity constitutes the original or most historically significant central part of another entity.
-
E.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
- F. None of above.
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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.