Triple
T18862851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pero's Bridge |
E461357
|
entity |
| Predicate | hasCounterweightType |
P133219
|
FINISHED |
| Object | vertical horn-shaped counterweights |
—
|
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: vertical horn-shaped counterweights | Statement: [Pero's Bridge, hasCounterweightType, vertical horn-shaped counterweights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCounterweightType Context triple: [Pero's Bridge, hasCounterweightType, vertical horn-shaped counterweights]
-
A.
isHeavierThan
Indicates that one entity has greater weight or mass than another entity.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
hasCantilever
Indicates that one entity possesses or incorporates a cantilever structure in relation to another entity or context.
-
D.
hasBellWeight
Indicates that an entity (typically a bell) has a specific weight value associated with it.
-
E.
hasRopeWeight
Indicates that an entity is associated with a specific rope weight used for it or by it.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a304d4819092f14b7932d01afe |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.