Triple
T38526265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbesses Métro station |
E923235
|
entity |
| Predicate | entranceMaterial |
P104293
|
FINISHED |
| Object | cast iron |
—
|
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: cast iron | Statement: [Abbesses Métro station, entranceMaterial, cast iron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceMaterial Context triple: [Abbesses Métro station, entranceMaterial, cast iron]
-
A.
entranceDesigner
Indicates that an entity is responsible for designing the entrance of a building, structure, or space.
-
B.
entranceTrait
Indicates a characteristic or feature associated with how an entity enters or is accessed (e.g., through a particular type or style of entrance).
-
C.
entranceShape
Indicates the geometric form or outline that characterizes an entrance.
-
D.
hasDoorMaterial
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
E.
featuresMaterialType
chosen
Indicates that an entity is characterized by or incorporates a specific type of material.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.