Triple
T37704281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchal |
E939157
|
entity |
| Predicate | hasTerraceSeating |
P151638
|
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: [Marchal, hasTerraceSeating, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerraceSeating Context triple: [Marchal, hasTerraceSeating, true]
-
A.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
B.
outdoorSeating
Indicates that an establishment provides seating arrangements located outside the main indoor area.
-
C.
hasGrassSeatingArea
Indicates that an entity includes or provides a seating area located on a grass surface.
-
D.
hasShelteredSeating
Indicates that an entity provides seating that is protected from weather or other external elements.
-
E.
hasBalconyOrTerrace
chosen
Indicates that an entity includes or is associated with a balcony or a terrace as part of its features.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 3, 2026, 4:18 p.m.