Triple
T2028430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FTSE All-Share Index |
E44461
|
entity |
| Predicate | dataVendorCodeExample |
P19199
|
FINISHED |
| Object | ^FTAS |
—
|
LITERAL FINISHED |
How this triple was built (2 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: ^FTAS | Statement: [FTSE All-Share Index, dataVendorCodeExample, ^FTAS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataVendorCodeExample Context triple: [FTSE All-Share Index, dataVendorCodeExample, ^FTAS]
-
A.
dataVendor
Indicates a relationship where one entity serves as a provider or supplier of data to another entity.
-
B.
hasDataVendorCode
chosen
Indicates that an entity is associated with a specific vendor-assigned code used to identify its data source or provider.
-
C.
dataVendorName
Indicates the name or identifier of the vendor that supplies or provides the data.
-
D.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
E.
platformCode
Indicates the specific code or identifier assigned to a platform (such as a station platform or service platform) associated with the subject entity.
- F. None of above.
Provenance (3 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9136f888190b0fd03530e9eda1e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.