Triple
T14005138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mughal court |
E336926
|
entity |
| Predicate | employedOffice |
P44925
|
FINISHED |
| Object | sadr-us-sudur |
E605924
|
NE 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: sadr-us-sudur | Statement: [Mughal court, employedOffice, sadr-us-sudur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sadr-us-sudur Context triple: [Mughal court, employedOffice, sadr-us-sudur]
-
A.
sadr
chosen
The sadr was a high-ranking Mughal official responsible for overseeing religious endowments and Islamic judicial and charitable affairs within the empire.
-
B.
SADER
SADER is Mexico’s federal government ministry responsible for formulating and implementing national policies on agriculture, livestock, fisheries, and rural development.
-
C.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
D.
Sadda
Sadda is a town in Pakistan’s Khyber Pakhtunkhwa region, known as a local commercial and administrative center in the Kurram District near the Afghan border.
-
E.
Aiwan-e-Sadr
Aiwan-e-Sadr is the official presidential palace and primary seat of the President of Pakistan, located in Islamabad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed1d2548190bb46d6b7cba4ffde |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca41d24819086df2329ea3c4c9c |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.