Triple
T942173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birla House, New Delhi |
E20329
|
entity |
| Predicate | inceptionAsMemorial |
P22014
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Birla House, New Delhi, inceptionAsMemorial, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsMemorial Context triple: [Birla House, New Delhi, inceptionAsMemorial, 1970s]
-
A.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
B.
inceptionCentury
Indicates the century during which something (such as an institution, tradition, or practice) was originally founded or began.
-
C.
inceptionSeason
Indicates the season in which something (such as a series, competition, or activity) first began or was introduced.
-
D.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
E.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
- 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_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. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.