Triple
T11189274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore Fort |
E264753
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kala Burj
Kala Burj is a historic tower within Lahore Fort in Pakistan, notable for its Mughal-era architecture and decorative frescoes.
|
E910660
|
NE FINISHED |
How this triple was built (4 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: Kala Burj | Statement: [Lahore Fort, hasPart, Kala Burj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kala Burj Context triple: [Lahore Fort, hasPart, Kala Burj]
-
A.
Musamman Burj
Musamman Burj is an elegant octagonal marble tower and pavilion within Agra Fort, famed as the place where Mughal emperor Shah Jahan was imprisoned with a view of the Taj Mahal.
-
B.
Al-Burj
Al-Burj is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Manara
Manara is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade and iconic lighthouse.
-
D.
Al Hamra Tower
Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
-
E.
Malwiya Tower
Malwiya Tower is the iconic spiraling minaret of the Great Mosque of Samarra in Iraq, renowned for its unique helical design and historical significance in early Islamic architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kala Burj Triple: [Lahore Fort, hasPart, Kala Burj]
Generated description
Kala Burj is a historic tower within Lahore Fort in Pakistan, notable for its Mughal-era architecture and decorative frescoes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kala Burj Target entity description: Kala Burj is a historic tower within Lahore Fort in Pakistan, notable for its Mughal-era architecture and decorative frescoes.
-
A.
Musamman Burj
Musamman Burj is an elegant octagonal marble tower and pavilion within Agra Fort, famed as the place where Mughal emperor Shah Jahan was imprisoned with a view of the Taj Mahal.
-
B.
Al-Burj
Al-Burj is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
C.
Manara
Manara is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade and iconic lighthouse.
-
D.
Al Hamra Tower
Al Hamra Tower is a prominent skyscraper in Kuwait City known for its distinctive twisting design and status as one of the tallest buildings in Kuwait.
-
E.
Malwiya Tower
Malwiya Tower is the iconic spiraling minaret of the Great Mosque of Samarra in Iraq, renowned for its unique helical design and historical significance in early Islamic architecture.
- F. None of above. chosen
Provenance (5 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ad143481908d5dacc95837ecfd |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483df3c74819090fc6ef26f785539 |
completed | April 19, 2026, 7:27 a.m. |
| NEDg | Description generation | batch_69e48788be688190a109ccb8281d3dc9 |
completed | April 19, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4890c12388190838d350207492c9e |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.