Triple
T15988172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manek Chowk |
E387752
|
entity |
| Predicate | daytimeActivity |
P10350
|
FINISHED |
| Object | jewelry trading |
—
|
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: jewelry trading | Statement: [Manek Chowk, daytimeActivity, jewelry trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: daytimeActivity Context triple: [Manek Chowk, daytimeActivity, jewelry trading]
-
A.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
activityTime
chosen
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
-
E.
activitiesCarriedOutFor
Indicates that certain activities are performed on behalf of, in service of, or for the benefit of a particular entity.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.