Triple
T5998067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singidunum |
E133521
|
entity |
| Predicate | languageOfEarlierName |
P52208
|
FINISHED |
| Object | Celtic |
—
|
LITERAL FINISHED |
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: Celtic | Statement: [Singidunum, languageOfEarlierName, Celtic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfEarlierName Context triple: [Singidunum, languageOfEarlierName, Celtic]
-
A.
languageOfHistoricName
chosen
Indicates the language in which a historic or former name of an entity is expressed.
-
B.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
C.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
-
D.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
E.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
- F. None of above.
Provenance (3 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee274e08190b6478c7ae318ae48 |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.