Triple
T16469791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Deportivo FAS |
E400029
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
FAS
FAS is a prominent Salvadoran professional football club known for its rich history and strong domestic success.
|
E1215442
|
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: FAS | Statement: [Club Deportivo FAS, nickname, FAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAS Context triple: [Club Deportivo FAS, nickname, FAS]
-
A.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
-
B.
FAS
FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
-
C.
FAS
FAS is the acronym for the Salvadoran Air Force, the aerial warfare branch of El Salvador’s military.
-
D.
FAS
FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
-
E.
FAS
FAS is the Foreign Agricultural Service, a U.S. government agency that promotes American agricultural exports and supports international food security and trade policy.
- 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: FAS Triple: [Club Deportivo FAS, nickname, FAS]
Generated description
FAS is a prominent Salvadoran professional football club known for its rich history and strong domestic success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAS Target entity description: FAS is a prominent Salvadoran professional football club known for its rich history and strong domestic success.
-
A.
FAS
FAS is the acronym for the Salvadoran Air Force, the aerial warfare branch of El Salvador’s military.
-
B.
FAS
FAS is the Foreign Agricultural Service, a U.S. government agency that promotes American agricultural exports and supports international food security and trade policy.
-
C.
FAS
FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
-
D.
FAS
FAS is a component of the U.S. General Services Administration responsible for managing government-wide procurement of products and services.
-
E.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5af4308190bd023624de35027f |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:11 a.m.