Triple
T2991252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente de San Martín |
E80756
|
entity |
| Predicate | hasMainSpan |
P4063
|
FINISHED |
| Object | about 40 meters |
—
|
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: about 40 meters | Statement: [Puente de San Martín, hasMainSpan, about 40 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSpan Context triple: [Puente de San Martín, hasMainSpan, about 40 meters]
-
A.
hasMainSpanLength
chosen
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
B.
isMajorSpanOf
Indicates that one span or segment constitutes the primary or most significant portion of another span.
-
C.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
D.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
-
E.
hasMainReferent
Indicates that one entity serves as the primary or central referent for another entity within a given context.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.