Triple
T11459007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château La Tour Haut-Brion |
E271603
|
entity |
| Predicate | lastVintage |
P99676
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Château La Tour Haut-Brion, lastVintage, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastVintage Context triple: [Château La Tour Haut-Brion, lastVintage, 2005]
-
A.
lastLifetimeEditionYear
Indicates the year in which the most recent lifetime edition of an entity (such as a work or product) was issued or became available.
-
B.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
-
C.
minimumAgingVintage
Indicates the earliest vintage or production year from which an item (often a wine or similar product) must date in order to meet a specified minimum aging requirement.
-
D.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
E.
lastShip
Indicates that one entity is the final or most recent ship associated with another entity in a given sequence, context, or process.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.