Triple
T13916695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chepauk Palace, Madras |
E334639
|
entity |
| Predicate | cityHistoryRole |
P80580
|
FINISHED |
| Object | symbol of Nawabi rule in Madras |
—
|
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: symbol of Nawabi rule in Madras | Statement: [Chepauk Palace, Madras, cityHistoryRole, symbol of Nawabi rule in Madras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityHistoryRole Context triple: [Chepauk Palace, Madras, cityHistoryRole, symbol of Nawabi rule in Madras]
-
A.
focusCityHistory
Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
-
B.
urbanHistoryFeature
chosen
Indicates a feature that plays a significant role in the historical development, events, or evolution of an urban area.
-
C.
roleInHumanHistory
Indicates the function, influence, or significance that an entity has had within the course of human history.
-
D.
associatedWithCityHistory
Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
-
E.
hasHistoricCity
Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.