Triple
T471089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 81-171 |
E8557
|
entity |
| Predicate | publicLawNumber |
P1117
|
FINISHED |
| Object |
81-171
81-171 is the numerical designation of a specific Act of the 81st United States Congress, formally identified as Public Law 81-171.
|
E58952
|
NE FINISHED |
How this triple was built (4 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: 81-171 | Statement: [Public Law 81-171, publicLawNumber, 81-171]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 81-171 Context triple: [Public Law 81-171, publicLawNumber, 81-171]
-
A.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
B.
99 Steps
99 Steps is a historic stone staircase in Charlotte Amalie, St. Thomas, built during the Danish colonial era and now a popular tourist attraction.
-
C.
The Great Eight
The Great Eight is the famous nickname of Russian ice hockey superstar Alex Ovechkin, one of the most prolific goal scorers in NHL history.
-
D.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
E.
The Palestra
The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 81-171 Triple: [Public Law 81-171, publicLawNumber, 81-171]
Generated description
81-171 is the numerical designation of a specific Act of the 81st United States Congress, formally identified as Public Law 81-171.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 81-171 Target entity description: 81-171 is the numerical designation of a specific Act of the 81st United States Congress, formally identified as Public Law 81-171.
-
A.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
B.
99 Steps
99 Steps is a historic stone staircase in Charlotte Amalie, St. Thomas, built during the Danish colonial era and now a popular tourist attraction.
-
C.
The Great Eight
The Great Eight is the famous nickname of Russian ice hockey superstar Alex Ovechkin, one of the most prolific goal scorers in NHL history.
-
D.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
E.
The Palestra
The Palestra is a historic college basketball arena on the University of Pennsylvania campus in Philadelphia, renowned as one of the most storied and frequently used venues in the sport.
- F. None of above. chosen
Provenance (5 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eff0ca408190958405aec2ec6f53 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462f9f1b88190a6c51368b5f80c5f |
completed | March 1, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69a463afec188190893dec4417cb774c |
completed | March 1, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4640129008190b7b69a87dd342936 |
completed | March 1, 2026, 4:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.