Triple
T34131565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontia (bridge) |
E875437
|
entity |
| Predicate | isMainRoadBridgeOf |
P179875
|
FINISHED |
| Object | Huy |
—
|
NE NERFINISHED |
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: Huy | Statement: [Pontia (bridge), isMainRoadBridgeOf, Huy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainRoadBridgeOf Context triple: [Pontia (bridge), isMainRoadBridgeOf, Huy]
-
A.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
B.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
C.
riverCrossedByMaintainedBridges
Indicates that a river is spanned by one or more bridges that are actively maintained in usable condition.
-
D.
otherMainBridge
Indicates that one bridge serves as an alternative or secondary primary bridge in relation to another main bridge.
-
E.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f728a1a0d081909e1b4465e7b88390 |
completed | May 3, 2026, 10:51 a.m. |
Created at: May 1, 2026, 1:53 a.m.