Triple
T7461764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverted Jenny stamp block |
E176265
|
entity |
| Predicate | conditionImportance |
P1887
|
FINISHED |
| Object | centering and gum significantly affect value |
—
|
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: centering and gum significantly affect value | Statement: [Inverted Jenny stamp block, conditionImportance, centering and gum significantly affect value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionImportance Context triple: [Inverted Jenny stamp block, conditionImportance, centering and gum significantly affect value]
-
A.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
B.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
lostImportanceUnder
Indicates that one entity’s importance or prominence decreased when another specified entity came into power, control, or influence.
-
D.
majorImport
Indicates that one entity is a primary or significant source of imported goods or resources for another entity.
-
E.
significantAfter
Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:38 p.m.