Triple
T14469068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Toledo |
E358787
|
entity |
| Predicate | previousStatusOfCity |
P20755
|
FINISHED |
| Object | royal and administrative center of the Visigoths |
—
|
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: royal and administrative center of the Visigoths | Statement: [Siege of Toledo, previousStatusOfCity, royal and administrative center of the Visigoths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStatusOfCity Context triple: [Siege of Toledo, previousStatusOfCity, royal and administrative center of the Visigoths]
-
A.
previousCity
Indicates that one city was the immediately preceding location visited or lived in before another city.
-
B.
cityStatusUntil
chosen
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
C.
previousLocationInCity
Indicates that an entity was formerly located at a specified place within a particular city before moving or changing location.
-
D.
cityPreviouslyLocatedIn
Indicates that a city was formerly situated within a specified location or administrative region, but is no longer located there.
-
E.
formerCityName
Indicates that an entity was previously known by a different city name in the past.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f8613c819080424104c0b7f4c3 |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.