Triple
T19699190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swadeshi Jagaran Manch |
E473044
|
entity |
| Predicate | positionOnRetail |
P55291
|
FINISHED |
| Object | opposition to entry of large foreign retail chains |
—
|
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: opposition to entry of large foreign retail chains | Statement: [Swadeshi Jagaran Manch, positionOnRetail, opposition to entry of large foreign retail chains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnRetail Context triple: [Swadeshi Jagaran Manch, positionOnRetail, opposition to entry of large foreign retail chains]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionOnBusiness
chosen
Indicates the stance, role, or viewpoint an entity holds regarding a particular business, company, or commercial matter.
-
C.
positionInProductLine
Indicates the specific place or order an item occupies within a defined product line or series.
-
D.
positionOnEstablishment
Indicates the spatial or functional placement of one entity relative to an establishment (such as being located on, within, or as part of that establishment).
-
E.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b426608190a46abec3652a6ca0 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.