Triple
T2053531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roebling |
E45622
|
entity |
| Predicate | fieldAssociatedWith |
P6979
|
FINISHED |
| Object | civil engineering |
—
|
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: civil engineering | Statement: [Roebling, fieldAssociatedWith, civil engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldAssociatedWith Context triple: [Roebling, fieldAssociatedWith, civil engineering]
-
A.
relatedField
chosen
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
B.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
originAssociatedWith
Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
-
D.
originallyAssociatedWith
Indicates that an entity was first linked, connected, or affiliated with another entity before any later changes in association.
-
E.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99196ec819096f491ac7732156a |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.