Triple
T1899763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Córdoba (historical) |
E37664
|
entity |
| Predicate | timeAsCapitalStart |
P32945
|
FINISHED |
| Object | 756 |
—
|
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: 756 | Statement: [Córdoba (historical), timeAsCapitalStart, 756]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeAsCapitalStart Context triple: [Córdoba (historical), timeAsCapitalStart, 756]
-
A.
timeAsCapital
Indicates the period during which a particular city served as the capital of a political entity.
-
B.
startTimeAsRepresentative
Indicates the time at which an entity begins serving or acting in a representative capacity.
-
C.
capitalTimeZoneOf
Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
-
D.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
E.
timeInCapital
Indicates that a specified amount of time is spent or occurs within the capital city of a given political or administrative entity.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb17181b0819090683c55fd1352cb |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:35 p.m.