Triple
T1567465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAACP Legal Defense and Educational Fund |
E33463
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
LDF
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
|
E176881
|
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: LDF | Statement: [NAACP Legal Defense and Educational Fund, alsoKnownAs, LDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LDF Context triple: [NAACP Legal Defense and Educational Fund, alsoKnownAs, LDF]
-
A.
LDP
LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
-
B.
LBF
LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
-
C.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
D.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
-
E.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
- 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: LDF Triple: [NAACP Legal Defense and Educational Fund, alsoKnownAs, LDF]
Generated description
LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LDF Target entity description: LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
-
A.
LDP
LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
-
B.
LBF
LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
-
C.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
D.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
-
E.
LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908a0314c8190a5ce3e32dd9035db |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad371b99fc8190b8af03444fd1252b |
completed | March 8, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_69ad37e306948190bbaa14829ce094e6 |
completed | March 8, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38d20b608190b95ff9906cfd9f83 |
completed | March 8, 2026, 8:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.