Triple
T22458266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruvalluvar Statue |
E555167
|
entity |
| Predicate | hasEarthquakeResistanceDesign |
P8962
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Thiruvalluvar Statue, hasEarthquakeResistanceDesign, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarthquakeResistanceDesign Context triple: [Thiruvalluvar Statue, hasEarthquakeResistanceDesign, yes]
-
A.
earthquakeResistance
Indicates how well an entity can withstand or remain functional during an earthquake without significant damage.
-
B.
seismicDesign
chosen
Indicates that an entity is designed or engineered to withstand seismic activity or earthquake-related forces.
-
C.
hasSeismicBehavior
Indicates that an entity exhibits or is characterized by a particular type or pattern of seismic activity or response.
-
D.
seismicDesignCategory
Indicates the classification of a structure’s required level of seismic resistance based on its expected exposure to earthquake forces.
-
E.
seismicRetrofit
Indicates that an existing structure has been modified or strengthened to improve its performance and safety during seismic events such as earthquakes.
- 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.