Triple
T64449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intelligence Reform and Terrorism Prevention Act of 2004 |
E1281
|
entity |
| Predicate | titleCount |
P4419
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Intelligence Reform and Terrorism Prevention Act of 2004, titleCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCount Context triple: [Intelligence Reform and Terrorism Prevention Act of 2004, titleCount, 10]
-
A.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
articleCount
Indicates the number of articles associated with a given entity or context.
-
D.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2516d98e88190b79261bd3fcadd9b |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.