Triple
T6462140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponte Vecchio |
E142145
|
entity |
| Predicate | isOldestBridgeInCity |
P37124
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ponte Vecchio, isOldestBridgeInCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestBridgeInCity Context triple: [Ponte Vecchio, isOldestBridgeInCity, true]
-
A.
isOldestSurvivingBridgeAcross
chosen
Indicates that a bridge is the most ancient still-existing bridge that spans a specified waterway, road, or gap.
-
B.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
C.
isOldestCityIn
Indicates that one city holds the distinction of being the most ancient or earliest established within a specified region, country, or group of cities.
-
D.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
E.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f7e5908190ae4d8da2b14d274f |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.