Triple
T18140097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRM |
E434237
|
entity |
| Predicate | titleTrack |
P8087
|
FINISHED |
| Object | IRM |
—
|
NE NERFINISHED |
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: IRM | Statement: [IRM, titleTrack, IRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRM Context triple: [IRM, titleTrack, IRM]
-
A.
IRM
IRM is a theological and missiological academic journal focusing on global Christian mission studies and practice.
-
B.
IRM
chosen
IRM is a 2009 experimental pop album by Charlotte Gainsbourg, produced and largely written by Beck, noted for its introspective themes and eclectic sound.
-
C.
IRE
IRE is the three-letter World Rugby code representing the Ireland national rugby union team.
-
D.
IR
IR is the IATA airline designator assigned to Iran Air, the national flag carrier of Iran.
-
E.
IR
IR is the branding abbreviation used for InterRegio, a category of medium- to long-distance passenger trains operating in several European countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.