Triple
T1974592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Bridge (Sacramento) |
E42879
|
entity |
| Predicate | hasLiftSpan |
P25282
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tower Bridge (Sacramento), hasLiftSpan, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiftSpan Context triple: [Tower Bridge (Sacramento), hasLiftSpan, yes]
-
A.
hasLiftType
Indicates the specific type or category of lift associated with an entity.
-
B.
verticalLiftSpanLength
Indicates the length of the span that moves vertically in a lifting structure or mechanism.
-
C.
hasHighRiseSpan
Indicates that a structure or element extends vertically across a significant number of levels or stories, forming a tall or high-rise span.
-
D.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
E.
hasMovableSpan
chosen
Indicates that an object or structure includes a span or section that can be moved or repositioned rather than being fixed in place.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f6c4208190a41e02733faed8df |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.