Triple
T7629753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three-story Stone Pagoda (Beomeosa) |
E172729
|
entity |
| Predicate | hasTierCount |
P41505
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Three-story Stone Pagoda (Beomeosa), hasTierCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTierCount Context triple: [Three-story Stone Pagoda (Beomeosa), hasTierCount, 3]
-
A.
hasTierName
Indicates that an entity is associated with a specific tier by its name.
-
B.
tierCount
chosen
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
-
C.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
-
D.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
E.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.