Triple
T4231141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahjahanabad |
E94582
|
entity |
| Predicate | post1857Change |
P51914
|
FINISHED |
| Object | partial demolition of walls and gates |
—
|
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: partial demolition of walls and gates | Statement: [Shahjahanabad, post1857Change, partial demolition of walls and gates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post1857Change Context triple: [Shahjahanabad, post1857Change, partial demolition of walls and gates]
-
A.
statusAfter1857
chosen
Indicates the condition or state of an entity as it existed after the year 1857, typically in contrast to its prior status.
-
B.
changeIn1975
Indicates that a change, transition, or modification in the relationship or state occurred in the year 1975.
-
C.
lastReform
Indicates the most recent reform or change that was applied to an entity, typically linking the entity to its latest reform event or version.
-
D.
timeOfMajorReforms
Indicates the specific time period during which significant reforms or major changes took place.
-
E.
afterRepublicBecame
Indicates that one event, state, or condition occurred subsequent to the time when a republic was established or came into existence.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e62e3c881909ffb9269ba9018b9 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.