Triple
T1195151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House with the Heads |
E25651
|
entity |
| Predicate | hasFacadeDecoration |
P2788
|
FINISHED |
| Object | sculpted heads |
—
|
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: sculpted heads | Statement: [House with the Heads, hasFacadeDecoration, sculpted heads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacadeDecoration Context triple: [House with the Heads, hasFacadeDecoration, sculpted heads]
-
A.
hasFacet
Indicates that an entity possesses a particular aspect, side, or dimension as one of its distinguishable parts or characteristics.
-
B.
decoratedFor
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
-
C.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
D.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
E.
typeOfDecoration
chosen
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd78f61c8190bdba2255d35a8fe4 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.