Triple
T25855849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Four Bridge (Indiana landing) |
E651340
|
entity |
| Predicate | isAdaptivelyReusedFrom |
P95595
|
FINISHED |
| Object | railroad infrastructure |
—
|
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: railroad infrastructure | Statement: [Big Four Bridge (Indiana landing), isAdaptivelyReusedFrom, railroad infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdaptivelyReusedFrom Context triple: [Big Four Bridge (Indiana landing), isAdaptivelyReusedFrom, railroad infrastructure]
-
A.
isReclaimedFrom
Indicates that something has been recovered, restored, or taken back from a previous state, owner, or condition.
-
B.
partiallyReusedAs
chosen
Indicates that one entity is used again as part of another entity, but only to a limited or incomplete extent rather than in its entirety.
-
C.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
-
D.
isReclaimed
Indicates that something previously used, degraded, or discarded has been restored, recovered, or converted back into a usable or improved state.
-
E.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60267e08481908cd8cdcdcc4afa00 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8 a.m.