Triple
T698988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical Secretariat of the OPCW |
E13955
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TS
TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
|
E85733
|
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: TS | Statement: [Technical Secretariat of the OPCW, hasAbbreviation, TS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TS Context triple: [Technical Secretariat of the OPCW, hasAbbreviation, TS]
-
A.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
B.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
E.
TC
TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
- 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: TS Triple: [Technical Secretariat of the OPCW, hasAbbreviation, TS]
Generated description
TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TS Target entity description: TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
-
A.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
B.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
E.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcac4e9c8190bb6903916a6624a8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5dfa4a07c8190ac4f477e324b46ff |
completed | March 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a607857b648190a37bf535428e2afd |
completed | March 2, 2026, 9:56 p.m. |
Created at: March 1, 2026, 7:36 p.m.