Triple
T33608260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States congressional resolutions |
E860917
|
entity |
| Predicate | mayBeNumberedAs |
P37553
|
FINISHED |
| Object |
H.Res.
H.Res. is the standard abbreviation used to designate a House Resolution introduced in the United States House of Representatives.
|
E2059898
|
NE FINISHED |
How this triple was built (3 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: H.Res. | Statement: [United States congressional resolutions, mayBeNumberedAs, H.Res.]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: H.Res. Triple: [United States congressional resolutions, mayBeNumberedAs, H.Res.]
Generated description
H.Res. is the standard abbreviation used to designate a House Resolution introduced in the United States House of Representatives.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeNumberedAs Context triple: [United States congressional resolutions, mayBeNumberedAs, H.Res.]
-
A.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
B.
isNumberedBy
chosen
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
C.
mayBeRenumbered
Indicates that an entity’s identifier or numbering is allowed to change under certain conditions.
-
D.
isNumberedWithinState
Indicates that an entity has an assigned number that is unique or valid only within the context or boundaries of a particular state.
-
E.
isNumberedRelativeTo
Indicates that one entity’s numbering or ordinal position is defined or interpreted in relation to another entity.
- F. None of above.
Provenance (6 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36119b002481909b674d1d34df4f85 |
completed | June 20, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a361e7eec908190b1433b7aaaafd2bd |
completed | June 20, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a361ed6ed108190a3432c6fb2cfe436 |
completed | June 20, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:41 a.m.