Triple
T942188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birla House, New Delhi |
E20329
|
entity |
| Predicate | timePeriodOfUseAsResidenceByGandhi |
P7934
|
FINISHED |
| Object | 1947–1948 |
—
|
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: 1947–1948 | Statement: [Birla House, New Delhi, timePeriodOfUseAsResidenceByGandhi, 1947–1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfUseAsResidenceByGandhi Context triple: [Birla House, New Delhi, timePeriodOfUseAsResidenceByGandhi, 1947–1948]
-
A.
hasResidenceTime
Indicates the duration for which something remains or stays within a particular place, system, or state.
-
B.
periodOfContinuousInhabitation
Indicates a span of time during which a place is continuously inhabited without interruption.
-
C.
locationPeriod
chosen
Indicates that an entity is associated with being at a particular location during a specified time period.
-
D.
residencyPattern
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
E.
spentMostOfLifeIn
Indicates that an entity resided or was primarily based in a particular place for the majority of its lifetime.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.