Triple
T408508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunker Hill Monument |
E9434
|
entity |
| Predicate | hasNumberOfSteps |
P1275
|
FINISHED |
| Object | 294 |
—
|
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: 294 | Statement: [Bunker Hill Monument, hasNumberOfSteps, 294]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSteps Context triple: [Bunker Hill Monument, hasNumberOfSteps, 294]
-
A.
hasStep
Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
-
B.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
C.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
D.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
E.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbf0650819080753815ca280eec |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.