Triple
T22024460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Throwback |
E543923
|
entity |
| Predicate | hasMonumentalPresence |
P146305
|
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: [Throwback, hasMonumentalPresence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonumentalPresence Context triple: [Throwback, hasMonumentalPresence, true]
-
A.
hasMonumentalFeature
Indicates that an entity possesses or includes a significant, large-scale, or historically important physical feature or structure.
-
B.
hasPrimaryMonument
Indicates that an entity is associated with its main or most significant monument.
-
C.
isMonumentalTree
Indicates that a tree is officially recognized as exceptionally significant, typically due to its age, size, rarity, historical, cultural, or ecological importance.
-
D.
isMonumentClassic
Indicates that a monument exemplifies classic or traditional architectural or historical style.
-
E.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ca45a08190b2d5d3a8eb37cb4b |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:23 p.m.