Triple
T38347562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mausoleum of Khawaja Ghulam Farid |
E1041584
|
entity |
| Predicate | eraOfOccupant |
P190449
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Mausoleum of Khawaja Ghulam Farid, eraOfOccupant, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfOccupant Context triple: [Mausoleum of Khawaja Ghulam Farid, eraOfOccupant, 19th century]
-
A.
fieldOfOccupant
Indicates the specific professional or academic field in which an occupant is engaged or associated.
-
B.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
C.
intendedOccupant
Indicates that one entity is designated or meant to be the occupant of another entity (such as a space, seat, or dwelling).
-
D.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
E.
politicalStatusOfOccupant
Indicates the political role, affiliation, or status held by the occupant of a given position, place, or office.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fcc7a42f68819081d6ec8bb6b53438 |
completed | May 7, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:30 p.m.