Triple
T18491009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De La Salle Brothers |
E451815
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
FSC
FSC is the post-nominal abbreviation used by members of the De La Salle Brothers, a Catholic religious teaching congregation.
|
E1328300
|
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: FSC | Statement: [De La Salle Brothers, hasAbbreviation, FSC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FSC Context triple: [De La Salle Brothers, hasAbbreviation, FSC]
-
A.
FSC
FSC is the IATA airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
-
B.
FSC
FSC is the primary South Korean government regulator overseeing financial policy, markets, and institutions.
-
C.
FSC Taiwan
FSC Taiwan is the government agency responsible for overseeing and regulating Taiwan’s financial services sector, including banking, securities, futures, and insurance.
-
D.
FSC Troika
FSC Troika is a rotating leadership group within the OSCE Forum for Security Co-operation that helps guide and coordinate its security and arms control agenda.
-
E.
US – FSC
US – FSC is a World Trade Organization dispute case concerning the United States’ tax treatment of Foreign Sales Corporations and its compliance with international trade rules.
- 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: FSC Triple: [De La Salle Brothers, hasAbbreviation, FSC]
Generated description
FSC is the post-nominal abbreviation used by members of the De La Salle Brothers, a Catholic religious teaching congregation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FSC Target entity description: FSC is the post-nominal abbreviation used by members of the De La Salle Brothers, a Catholic religious teaching congregation.
-
A.
FSC
FSC is the IATA airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
-
B.
FSC
FSC is the primary South Korean government regulator overseeing financial policy, markets, and institutions.
-
C.
FSC Taiwan
FSC Taiwan is the government agency responsible for overseeing and regulating Taiwan’s financial services sector, including banking, securities, futures, and insurance.
-
D.
FSC Troika
FSC Troika is a rotating leadership group within the OSCE Forum for Security Co-operation that helps guide and coordinate its security and arms control agenda.
-
E.
US – FSC
US – FSC is a World Trade Organization dispute case concerning the United States’ tax treatment of Foreign Sales Corporations and its compliance with international trade rules.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531db64b8819089f638718dddb1dc |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04713c21c48190bc34746e0d5f75b4 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04863e4f4c8190a79373a9cd510ed5 |
completed | May 13, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0486f4ec3c81908fc7189c03b63ddb |
completed | May 13, 2026, 2:13 p.m. |
Created at: April 10, 2026, 11:35 a.m.