Triple
T34862258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamnoon Hussain |
E1004906
|
entity |
| Predicate | headquartersLocationDuringPresidency |
P8952
|
FINISHED |
| Object | Islamabad |
—
|
NE NERFINISHED |
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: Islamabad | Statement: [Mamnoon Hussain, headquartersLocationDuringPresidency, Islamabad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersLocationDuringPresidency Context triple: [Mamnoon Hussain, headquartersLocationDuringPresidency, Islamabad]
-
A.
homeOfPresident
chosen
Indicates the location that serves as the residence of a president.
-
B.
locatedInFormerPresidency
Indicates that an entity was geographically or administratively situated within a territory that was formerly governed as a presidency.
-
C.
inaugurationLocation
Indicates the place where an inauguration event occurs or is held.
-
D.
residenceDuringFatherPresidency
Indicates that an entity resided at a particular location during the period when their father was serving as president.
-
E.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.