Triple
T7960873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Zone, Islamabad |
E184861
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aiwan-e-Sadr |
E56696
|
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: Aiwan-e-Sadr | Statement: [Red Zone, Islamabad, contains, Aiwan-e-Sadr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aiwan-e-Sadr Context triple: [Red Zone, Islamabad, contains, Aiwan-e-Sadr]
-
A.
Aiwan-e-Sadr
chosen
Aiwan-e-Sadr is the official presidential palace and primary seat of the President of Pakistan, located in Islamabad.
-
B.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
C.
Asmadin Bari
Asmadin Bari is one of the historic city gates of the walled city of Harar Jugol in eastern Ethiopia.
-
D.
Ribat-i Sharaf
Ribat-i Sharaf is a well-preserved 12th-century caravanserai in northeastern Iran, renowned for its intricate brickwork and as a prime example of Seljuk architectural design.
-
E.
Sediq
Sediq is an Austronesian indigenous language spoken by the Seediq people of central Taiwan.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b1dca08190926823fce1c0df6f |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:12 p.m.