Triple
T8255196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Spike ceremony |
E193053
|
entity |
| Predicate | numberOfCommemorativeSpikes |
P47445
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Golden Spike ceremony, numberOfCommemorativeSpikes, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCommemorativeSpikes Context triple: [Golden Spike ceremony, numberOfCommemorativeSpikes, 4]
-
A.
numberOfSpikes
chosen
Indicates the count of spikes possessed or exhibited by an entity.
-
B.
numberOfMissingCommemorated
Indicates the count of commemorated entities that are missing or unaccounted for in a given context.
-
C.
numberOfCommemoratedPersons
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
D.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
E.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f9f680819088f1d56e0f98974f |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.