Triple
T6682507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Harbour Bridge |
E152017
|
entity |
| Predicate | archSpan |
P71723
|
FINISHED |
| Object | 503 m |
—
|
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: 503 m | Statement: [Sydney Harbour Bridge, archSpan, 503 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archSpan Context triple: [Sydney Harbour Bridge, archSpan, 503 m]
-
A.
armSpan
Indicates the distance between an individual's outstretched fingertips, typically measured from one hand to the other across the body.
-
B.
archivesScope
Indicates that one entity defines or delimits the scope or coverage of another entity’s archival content or records.
-
C.
spanType
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
-
D.
archivesPeriod
Indicates that one entity serves as an archival record or repository for materials, information, or events associated with a specified time period.
-
E.
largestSpan
Indicates that the referenced entity has the greatest extent or coverage (in distance, time, or range) among a set of comparable spans.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6c0a90a088190978061cb05dbe268 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:04 p.m.