Triple
T8966719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juanita |
E214153
|
entity |
| Predicate | shortFormPattern |
P83434
|
FINISHED |
| Object | Spanish hypocoristic ending -ita |
—
|
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: Spanish hypocoristic ending -ita | Statement: [Juanita, shortFormPattern, Spanish hypocoristic ending -ita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormPattern Context triple: [Juanita, shortFormPattern, Spanish hypocoristic ending -ita]
-
A.
shortFormType
chosen
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
shortCodeType
Indicates that one entity is classified as a specific type or category of short code associated with another entity.
-
D.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
E.
shortensBefore
Indicates that one entity causes another entity’s duration, length, or extent to become shorter prior to a specified reference point or event.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:01 p.m.