Triple
T472801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laboratory Astrophysics Division |
E8595
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LAD
LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
|
E59318
|
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: LAD | Statement: [Laboratory Astrophysics Division, hasAbbreviation, LAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAD Context triple: [Laboratory Astrophysics Division, hasAbbreviation, LAD]
-
A.
LAD
LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
-
B.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
C.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
D.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
E.
LAS
LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
- 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: LAD Triple: [Laboratory Astrophysics Division, hasAbbreviation, LAD]
Generated description
LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAD Target entity description: LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
-
A.
LAD
LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
-
B.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
C.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
D.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
E.
LAS
LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
- 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_69a2eff24108819092fdb85019ec4089 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a462fbc760819092a3065fbb0ef589 |
completed | March 1, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69a4638ac9a481909da9430a589408a3 |
completed | March 1, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a463e978508190baab1c4a721661fb |
completed | March 1, 2026, 4:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.