Triple
T2310403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FirstGroup |
E51942
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
FGP
FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
|
E256305
|
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: FGP | Statement: [FirstGroup, tickerSymbol, FGP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FGP Context triple: [FirstGroup, tickerSymbol, FGP]
-
A.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
B.
FG
FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
-
C.
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
D.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
-
E.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
- 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: FGP Triple: [FirstGroup, tickerSymbol, FGP]
Generated description
FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FGP Target entity description: FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
-
A.
FGN
FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
-
B.
FG
FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
-
C.
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
D.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
-
E.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc6098ce88190ba2e987e6f0737ac |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8959d860819095ea3113e3d9264e |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8d49b7c081909f89c71a56067458 |
completed | March 9, 2026, 9:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8dc4cf44819082f242d6806aa45a |
completed | March 9, 2026, 9:07 a.m. |
Created at: March 4, 2026, 7:49 p.m.