Triple
T16748837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Scholar |
E407022
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GS
GS is the standard abbreviation for Google Scholar, a widely used web search engine for scholarly literature across many disciplines.
|
E407022
|
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: GS | Statement: [Google Scholar, abbreviation, GS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GS Context triple: [Google Scholar, abbreviation, GS]
-
A.
GS
GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
-
B.
GS
GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
-
C.
GS
GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
-
D.
GS
GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
-
E.
GS
GS is the commonly used abbreviation for the School of General Studies, a division of a university that typically offers flexible, interdisciplinary undergraduate programs for nontraditional or returning students.
- 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: GS Triple: [Google Scholar, abbreviation, GS]
Generated description
GS is the standard abbreviation for Google Scholar, a widely used web search engine for scholarly literature across many disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GS Target entity description: GS is the standard abbreviation for Google Scholar, a widely used web search engine for scholarly literature across many disciplines.
-
A.
GS
chosen
GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
-
B.
GS
GS is the commonly used abbreviation for the School of General Studies, a division of a university that typically offers flexible, interdisciplinary undergraduate programs for nontraditional or returning students.
-
C.
GS
GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
-
D.
GS
GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
-
E.
GS
GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
- F. None of above.
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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2532ac81908e5ee5148e35f92e |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a6b2d7b08190841de0e849eac604 |
completed | May 10, 2026, 3:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a761530481909b27b6844d2324f0 |
completed | May 10, 2026, 3:42 p.m. |
Created at: April 10, 2026, 5:21 a.m.