Triple
T31310419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balto |
E798447
|
entity |
| Predicate | statueInscriptionIncludes |
P32007
|
FINISHED |
| Object | Endurance |
—
|
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: Endurance | Statement: [Balto, statueInscriptionIncludes, Endurance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statueInscriptionIncludes Context triple: [Balto, statueInscriptionIncludes, Endurance]
-
A.
sculptorInscription
Indicates that an inscription identifies the sculptor responsible for creating a particular sculpture or artwork.
-
B.
notableInscriptionBy
Indicates that an inscription of particular note or significance on an entity was created, authored, or carved by a specified agent.
-
C.
statueName
chosen
Indicates that a statue has a specific name or title associated with it.
-
D.
memorialInscription
Indicates that a text is inscribed on a memorial object to commemorate a person, event, or occasion.
-
E.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
Created at: April 29, 2026, 9:15 p.m.