Triple
T1904644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian dollar |
E37772
|
entity |
| Predicate | isAbbreviatedAs |
P43
|
FINISHED |
| Object |
L$
L$ is the currency symbol used to represent the Liberian dollar, the official monetary unit of Liberia.
|
E212684
|
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: L$ | Statement: [Liberian dollar, isAbbreviatedAs, L$]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L$ Context triple: [Liberian dollar, isAbbreviatedAs, L$]
-
A.
L
The L is a Chicago 'L' rapid transit line that serves the city’s West Side and western suburbs as part of the Chicago Transit Authority system.
-
B.
L
The L is a New York City Subway line that runs crosstown through Manhattan and into Brooklyn, including service to neighborhoods such as Canarsie.
-
C.
L
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
-
D.
L
L is the vehicle registration code used on license plates for the German city and district of Leipzig.
-
E.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L$ Triple: [Liberian dollar, isAbbreviatedAs, L$]
Generated description
L$ is the currency symbol used to represent the Liberian dollar, the official monetary unit of Liberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L$ Target entity description: L$ is the currency symbol used to represent the Liberian dollar, the official monetary unit of Liberia.
-
A.
L
L is the enigmatic, emotionally complex protagonist of Hanne Ørstavik’s novel "Love," whose inner life and perspective drive the story’s exploration of isolation and longing.
-
B.
L
The L is a Chicago 'L' rapid transit line that serves the city’s West Side and western suburbs as part of the Chicago Transit Authority system.
-
C.
L
The L is a New York City Subway line that runs crosstown through Manhattan and into Brooklyn, including service to neighborhoods such as Canarsie.
-
D.
L
L is the vehicle registration code used on license plates for the German city and district of Leipzig.
-
E.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb191b710819091a5b767550fcf61 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf944c881908c5cb54bd27d6fa9 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb8b3d2c8190b13c03ce944f436a |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec123cc481908e55dfbe4f4da095 |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.