Triple
T13357549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prvoslav Perić |
E318731
|
entity |
| Predicate | startTimeAsMetropolitanOfZagrebAndLjubljana |
P109604
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Prvoslav Perić, startTimeAsMetropolitanOfZagrebAndLjubljana, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsMetropolitanOfZagrebAndLjubljana Context triple: [Prvoslav Perić, startTimeAsMetropolitanOfZagrebAndLjubljana, 2014]
-
A.
distanceFromLjubljana
Indicates the spatial distance between an entity and the city of Ljubljana.
-
B.
distanceToLjubljana
Indicates the spatial distance between a given location or entity and the city of Ljubljana.
-
C.
timeInPolandStart
Indicates the starting time at which something begins or becomes effective in Poland.
-
D.
timeZoneOnPolishSide
Indicates that the referenced time zone applies to the Polish side of a border or region.
-
E.
timeZoneOnSpanishSide
Indicates that the referenced time zone applies specifically to the Spanish side of a border or region.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:32 p.m.