Triple
T11865462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total Digital Access to the League of Nations Archives |
E282269
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LONTAD
LONTAD is the digitization and online access initiative for the historical archives of the League of Nations.
|
E950924
|
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: LONTAD | Statement: [Total Digital Access to the League of Nations Archives, shortName, LONTAD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LONTAD Context triple: [Total Digital Access to the League of Nations Archives, shortName, LONTAD]
-
A.
Lont
Lont is the ISO 15924 four-letter code assigned to the Lontara script used for writing several languages of Sulawesi, Indonesia.
-
B.
Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
-
C.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
D.
Langon
Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
-
E.
Lufton
Lufton is a fictional aristocratic family name most notably associated with the character Lord Lufton in Anthony Trollope’s Barsetshire novels.
- 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: LONTAD Triple: [Total Digital Access to the League of Nations Archives, shortName, LONTAD]
Generated description
LONTAD is the digitization and online access initiative for the historical archives of the League of Nations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LONTAD Target entity description: LONTAD is the digitization and online access initiative for the historical archives of the League of Nations.
-
A.
Lont
Lont is the ISO 15924 four-letter code assigned to the Lontara script used for writing several languages of Sulawesi, Indonesia.
-
B.
Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
-
C.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
D.
Langon
Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
-
E.
Lufton
Lufton is a fictional aristocratic family name most notably associated with the character Lord Lufton in Anthony Trollope’s Barsetshire novels.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2819229ec81908a3bc5579d661c20 |
completed | April 29, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f28a92ac90819092eef473a49d329e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c462d888190a43e042b00921dbe |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.