Triple
T12828727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyari Town |
E306728
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Nawalane
Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
|
E1005718
|
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: Nawalane | Statement: [Lyari Town, hasNeighbourhood, Nawalane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawalane Context triple: [Lyari Town, hasNeighbourhood, Nawalane]
-
A.
Navedenga
Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
-
B.
Nagu
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Nawar
Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
-
E.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
- 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: Nawalane Triple: [Lyari Town, hasNeighbourhood, Nawalane]
Generated description
Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nawalane Target entity description: Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
-
A.
Navedenga
Navedenga is a large-scale, immersive installation by Brazilian artist Ernesto Neto that envelops viewers in a sensorial environment of organic forms, textiles, and spices.
-
B.
Nagu
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Nawar
Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
-
E.
Yalama
Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed6cc9c8190aa66075505b42ec0 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f69277d3d88190abce800c01a8026c |
completed | May 3, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6938150608190a61206cefa3eca1e |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 9, 2026, 5:34 p.m.