Triple
T31669190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Trenton Bridge |
E808221
|
entity |
| Predicate | signReplaced |
P172615
|
FINISHED |
| Object | several times over 20th century |
—
|
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: several times over 20th century | Statement: [Lower Trenton Bridge, signReplaced, several times over 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signReplaced Context triple: [Lower Trenton Bridge, signReplaced, several times over 20th century]
-
A.
signCanBe
Indicates that one sign is capable of serving as, or functioning in the role of, another specified sign.
-
B.
signAssociated
Indicates that one entity is associated with, represented by, or linked to a particular sign or symbol of another entity.
-
C.
signType
Indicates the specific category or kind of sign involved in the relationship or action.
-
D.
signText
Indicates that a sign bears or displays a particular textual content.
-
E.
signedAs
Indicates that an entity has signed or endorsed something using a particular name, role, or identity.
- F. None of above. chosen
Provenance (4 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 11 p.m.