Triple
T9483985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singlish |
E228714
|
entity |
| Predicate | hasDiscourseParticle |
P88374
|
FINISHED |
| Object | lah |
—
|
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: lah | Statement: [Singlish, hasDiscourseParticle, lah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscourseParticle Context triple: [Singlish, hasDiscourseParticle, lah]
-
A.
hasParticiple
Indicates that one entity is associated with the participle form (verbal adjective or non-finite verb form) of another entity.
-
B.
hasAnaphora
Indicates that one expression in a text refers back to another earlier expression for its interpretation.
-
C.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
honorificParticle
Indicates that a grammatical particle is used to convey respect, politeness, or social status toward a referent in the expression.
- F. None of above. chosen
Provenance (4 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804e278c8190b1f869158075cd52 |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:55 p.m.