Triple
T22458258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruvalluvar Statue |
E555167
|
entity |
| Predicate | hasBaseHeight |
P9788
|
FINISHED |
| Object | 11.5 metres |
—
|
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: 11.5 metres | Statement: [Thiruvalluvar Statue, hasBaseHeight, 11.5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseHeight Context triple: [Thiruvalluvar Statue, hasBaseHeight, 11.5 metres]
-
A.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
-
C.
hasSignificantHeight
Indicates that one entity’s height is notably large or substantial relative to a given standard or to other entities.
-
D.
hasBaseArea
Indicates that one entity has a base whose surface area is quantified or associated with another entity.
-
E.
hasSupportBaseIn
Indicates that one entity maintains an operational or organizational base of support located in another entity.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7d00208190955a70e2c22d25a4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.