Triple
T35248115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isan people |
E1018022
|
entity |
| Predicate | musicPopularity |
P42306
|
FINISHED |
| Object | mor lam is popular nationwide in Thailand |
—
|
NE NERFINISHED |
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: mor lam is popular nationwide in Thailand | Statement: [Isan people, musicPopularity, mor lam is popular nationwide in Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicPopularity Context triple: [Isan people, musicPopularity, mor lam is popular nationwide in Thailand]
-
A.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
B.
popularityContext
chosen
Indicates the situational or domain-specific setting in which something’s popularity or level of public favor is evaluated.
-
C.
soundtrackPopularity
Indicates how widely liked, acclaimed, or frequently consumed a soundtrack is relative to others.
-
D.
peakPositionUS
Indicates the highest chart position an item has reached in the United States.
-
E.
chartPositionARIALatinPopAirplay
Indicates the position something holds on the ARIA Latin Pop Airplay music chart.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.