Triple
T5882519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladin orthography |
E130781
|
entity |
| Predicate | isUsedFor |
P98
|
FINISHED |
| Object |
Ladin media
Ladin media comprises newspapers, radio, television, and digital outlets that publish and broadcast content in the Ladin language, helping preserve and promote this Rhaeto-Romance minority tongue.
|
E553054
|
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: Ladin media | Statement: [Ladin orthography, isUsedFor, Ladin media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladin media Context triple: [Ladin orthography, isUsedFor, Ladin media]
-
A.
Ladurlad
Ladurlad is a central heroic figure in Robert Southey's epic poem "The Curse of Kehama," known for enduring a supernatural curse that renders him sleepless and invulnerable.
-
B.
Ladania
Ladania is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
LJ
LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
-
D.
Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
-
E.
LBN
LBN is the three-letter ISO 3166-1 alpha-3 country code for 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: Ladin media Triple: [Ladin orthography, isUsedFor, Ladin media]
Generated description
Ladin media comprises newspapers, radio, television, and digital outlets that publish and broadcast content in the Ladin language, helping preserve and promote this Rhaeto-Romance minority tongue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ladin media Target entity description: Ladin media comprises newspapers, radio, television, and digital outlets that publish and broadcast content in the Ladin language, helping preserve and promote this Rhaeto-Romance minority tongue.
-
A.
Ladurlad
Ladurlad is a central heroic figure in Robert Southey's epic poem "The Curse of Kehama," known for enduring a supernatural curse that renders him sleepless and invulnerable.
-
B.
Ladania
Ladania is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
LJ
LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
-
D.
Latada
Latada is a traditional student festival at the University of Coimbra, marked by parades, music, and academic rituals celebrating the start of the academic year.
-
E.
LBN
LBN is the three-letter ISO 3166-1 alpha-3 country code for 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:57 p.m.