Triple
T9889001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandarin Chinese |
E181408
|
entity |
| Predicate | hasPluralInflection |
P75334
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Mandarin Chinese, hasPluralInflection, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPluralInflection Context triple: [Mandarin Chinese, hasPluralInflection, limited]
-
A.
hasPluralForm
Indicates that one term is the plural grammatical form of another term.
-
B.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
C.
isInflectedLanguage
chosen
Indicates that a language uses systematic changes in word form (inflections) to express grammatical categories such as tense, case, number, or gender.
-
D.
inflectionOf
Indicates that one linguistic form is an inflected variant of another base or lemma form.
-
E.
hasGrammaticalNumber
Indicates that an expression is associated with a specific grammatical number category (such as singular, plural, or dual) in a language.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47be2988190811a99dc56ae542a |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.