Triple
T33126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteenth Amendment |
E661
|
entity |
| Predicate | numberInSeries |
P508
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Thirteenth Amendment, numberInSeries, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInSeries Context triple: [Thirteenth Amendment, numberInSeries, 13]
-
A.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
B.
numericCode
chosen
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
C.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
D.
numberOfStairs
Indicates the quantity of stairs associated with or present in a given context or structure.
-
E.
sacramentNumber
Indicates the specific ordinal position or count assigned to a sacrament within a defined set or sequence of sacraments.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2496ffc548190b545f998cbebd5b9 |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a248717f5081909952a8c9ed1e1742 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.