Triple
T23798870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunken Cemetery |
E588614
|
entity |
| Predicate | markerInstalledIn |
P2130
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Sunken Cemetery, markerInstalledIn, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markerInstalledIn Context triple: [Sunken Cemetery, markerInstalledIn, 1980s]
-
A.
marksLocationOf
Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
-
B.
hasMarker
chosen
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
C.
marksMeetingPointOf
Indicates that something designates or identifies the specific location where two or more entities meet or converge.
-
D.
hasMarkerOrMonument
Indicates that something possesses or is associated with a physical marker or monument commemorating it.
-
E.
marksOn
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dfaae081908be48fa89e625f71 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:51 p.m.