Triple
T13670097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Vaea |
E327724
|
entity |
| Predicate | inscriptionAtTomb |
P57501
|
FINISHED |
| Object | lines from Stevenson’s poem Requiem |
—
|
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: lines from Stevenson’s poem Requiem | Statement: [Mount Vaea, inscriptionAtTomb, lines from Stevenson’s poem Requiem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionAtTomb Context triple: [Mount Vaea, inscriptionAtTomb, lines from Stevenson’s poem Requiem]
-
A.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
B.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
-
C.
hasGraveInscription
chosen
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
-
D.
inscriptionLocation
Indicates the place or surface on which an inscription is written or engraved.
-
E.
inscriptionMaterial
Indicates the material substance on which an inscription is made or carved.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.