Triple
T13933754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chernobyl Nuclear Power Plant |
E335055
|
entity |
| Predicate | sarcophagusCompletionDate |
P111843
|
FINISHED |
| Object | 1986-11 |
—
|
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: 1986-11 | Statement: [Chernobyl Nuclear Power Plant, sarcophagusCompletionDate, 1986-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sarcophagusCompletionDate Context triple: [Chernobyl Nuclear Power Plant, sarcophagusCompletionDate, 1986-11]
-
A.
hasSarcophagusMaterial
Indicates that a sarcophagus is made from, or primarily composed of, a specified material.
-
B.
sarcophagusLostIn
Indicates that a sarcophagus was lost, disappeared, or went missing within a specified location or context.
-
C.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
-
D.
royalNecropolis
Indicates a burial place or cemetery specifically designated for royalty or members of a royal family.
-
E.
dateOfBurial
Indicates the specific date on which an entity was buried.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0fc42c8190ada203febd57e851 |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:17 p.m.