Triple
T36299718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pothuraju procession |
E893473
|
entity |
| Predicate | practicedInCity |
P185113
|
FINISHED |
| Object | Hyderabad |
—
|
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: Hyderabad | Statement: [Pothuraju procession, practicedInCity, Hyderabad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practicedInCity Context triple: [Pothuraju procession, practicedInCity, Hyderabad]
-
A.
basedInCity
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
B.
performedInCity
Indicates that an action, event, or performance took place within the boundaries of a specified city.
-
C.
residencyCity
Indicates the city in which an entity resides or has their primary place of residence.
-
D.
trainingCity
Indicates the city where an entity receives or conducts training.
-
E.
usedCity
Indicates that an entity made use of or operated within a particular city as part of its activities or functions.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.