Triple
T11652061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landhi |
E276926
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Korangi
Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
|
E948711
|
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: Korangi | Statement: [Landhi, adjacentTo, Korangi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korangi Context triple: [Landhi, adjacentTo, Korangi]
-
A.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
B.
Waharoa
Waharoa is a small rural township in the Waikato region of New Zealand, located near Matamata and serving as a local service and transport hub for the surrounding farming community.
-
C.
Runga
Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
-
D.
Makaroa
Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
E.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
- 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: Korangi Triple: [Landhi, adjacentTo, Korangi]
Generated description
Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Korangi Target entity description: Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
-
A.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
B.
Waharoa
Waharoa is a small rural township in the Waikato region of New Zealand, located near Matamata and serving as a local service and transport hub for the surrounding farming community.
-
C.
Runga
Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
-
D.
Makaroa
Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
E.
Matakohe
Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2d01f9c8190849f252f22519550 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1303147948190b8d3b72529d23842 |
completed | April 28, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f138b5f8988190a7ff95095eafd0b1 |
completed | April 28, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14e9b30a88190a054961a2f7fc80d |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 8, 2026, 9:39 p.m.