Triple
T17734052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress Street Bridge |
E442664
|
entity |
| Predicate | spansFeature |
P118226
|
FINISHED |
| Object | tidal waterway |
—
|
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: tidal waterway | Statement: [Congress Street Bridge, spansFeature, tidal waterway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansFeature Context triple: [Congress Street Bridge, spansFeature, tidal waterway]
-
A.
spanFeature
chosen
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
-
B.
spanType
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
-
C.
archSpan
Indicates the distance or extent between the supports of an arch, typically measured horizontally from one side to the other.
-
D.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
-
E.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e98a00819089490be2aa36873d |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:08 a.m.