Triple
T4617938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Fluff |
E100911
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | LIC |
E408819
|
NE 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: LIC | Statement: [Local Fluff, alternateName, LIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIC Context triple: [Local Fluff, alternateName, LIC]
-
A.
LIC
LIC is the National Rail station code for Lichfield City railway station in Staffordshire, England.
-
B.
LIC
chosen
LIC is the station code for Long Island City station, a commuter rail terminal in Queens, New York, served by the Long Island Rail Road.
-
C.
Lakshmi Insurance Company
Lakshmi Insurance Company was an Indian insurance firm established by freedom fighter and nationalist leader Lala Lajpat Rai as part of his efforts to promote indigenous enterprise.
-
D.
LICA
LICA is a multidisciplinary arts institute at Lancaster University that focuses on contemporary art, design, film, theatre, and related creative practices.
-
E.
Iscor
Iscor was a major South African steel and mining company that played a central role in the country’s industrial development before being restructured and absorbed into ArcelorMittal South Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa916f4c8190a53bb37ff46ed0b5 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.