Triple
T33456684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gien bridge |
E856795
|
entity |
| Predicate | firstConstructionPeriod |
P21877
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Gien bridge, firstConstructionPeriod, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConstructionPeriod Context triple: [Gien bridge, firstConstructionPeriod, Middle Ages]
-
A.
eraOfMajorConstruction
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
B.
startOfConstructionApprox
Indicates that the construction of something began around an approximate or estimated point in time, rather than on a precisely known date.
-
C.
earliestMajorConstruction
chosen
Indicates the earliest significant construction event associated with an entity, such as the first major building or development work completed for it.
-
D.
firstPartCompositionPeriod
Indicates that the subject entity represents the first part or segment of the overall composition period of the object entity.
-
E.
firstCreationYear
Indicates the year in which something was first created or originally produced.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:37 a.m.