Triple
T7641416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Pakistan |
E173018
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Jacobabad
Jacobabad is a city in Pakistan’s Sindh province known for its extreme heat, often recording some of the highest temperatures in the country and the world.
|
E677858
|
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: Jacobabad | Statement: [Southern Pakistan, hasMajorCity, Jacobabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacobabad Context triple: [Southern Pakistan, hasMajorCity, Jacobabad]
-
A.
Gujba
Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
-
B.
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
C.
Bijnor
Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
-
D.
Bairat
Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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: Jacobabad Triple: [Southern Pakistan, hasMajorCity, Jacobabad]
Generated description
Jacobabad is a city in Pakistan’s Sindh province known for its extreme heat, often recording some of the highest temperatures in the country and the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacobabad Target entity description: Jacobabad is a city in Pakistan’s Sindh province known for its extreme heat, often recording some of the highest temperatures in the country and the world.
-
A.
Gujba
Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
-
B.
Katihar
Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
-
C.
Bijnor
Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
-
D.
Bairat
Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facefbe08190882bd76cf3cd605e |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870cd11648190b9aeedadb7bc1981 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c872a531e08190b7488f576dcd7de4 |
completed | March 29, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:57 p.m.