Triple
T118444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian lira |
E2393
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object |
ITL
ITL was the former national currency of Italy before the adoption of the euro.
|
E12919
|
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: ITL | Statement: [Italian lira, ISO4217Code, ITL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITL Context triple: [Italian lira, ISO4217Code, ITL]
-
A.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
B.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
C.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
D.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
E.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
- 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: ITL Triple: [Italian lira, ISO4217Code, ITL]
Generated description
ITL was the former national currency of Italy before the adoption of the euro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ITL Target entity description: ITL was the former national currency of Italy before the adoption of the euro.
-
A.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
B.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
C.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
D.
Namba
Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
-
E.
Sinte
Sinte is an alternative self-designation used by the Sinti, a subgroup of the Romani people primarily found in Central Europe.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257145e0c81908a00c6c4a17b53f0 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a295bbc23c81908194d6f4bea4fcd4 |
completed | Feb. 28, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2968bffd881908147c66838776fef |
completed | Feb. 28, 2026, 7:17 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.