Triple
T26580967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Head cent |
E667074
|
entity |
| Predicate | coinOrientation |
P160663
|
FINISHED |
| Object | coin alignment |
—
|
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: coin alignment | Statement: [Indian Head cent, coinOrientation, coin alignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinOrientation Context triple: [Indian Head cent, coinOrientation, coin alignment]
-
A.
obverseOrReverse
Indicates that two sides or aspects of the same object or item are being related as its obverse (front) and reverse (back).
-
B.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
C.
coinageType
Indicates the specific type or category of coinage associated with an entity, such as its denomination, series, or monetary classification.
-
D.
coinedDenomination
Indicates that an entity created or introduced a particular name, term, or denomination for something.
-
E.
coneOrientation
Indicates the directional alignment or pointing direction of a cone relative to a reference frame or object.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614e0f3688190a10114486c5d62ab |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 2:03 a.m.