Triple
T527860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Slovakia |
E10960
|
entity |
| Predicate | hillArrangement |
P2362
|
FINISHED |
| Object | three hills in a row |
—
|
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: three hills in a row | Statement: [Coat of arms of Slovakia, hillArrangement, three hills in a row]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hillArrangement Context triple: [Coat of arms of Slovakia, hillArrangement, three hills in a row]
-
A.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
B.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
C.
cylinderArrangement
Indicates how multiple cylinders are positioned or organized relative to one another.
-
D.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
E.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.