Triple
T11860458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SITE Town |
E282143
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Islam Nagar
Islam Nagar is a residential neighborhood located within the town of SITE.
|
E968424
|
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: Islam Nagar | Statement: [SITE Town, hasNeighbourhood, Islam Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Islam Nagar Context triple: [SITE Town, hasNeighbourhood, Islam Nagar]
-
A.
Mauzamabad
Mauzamabad is a village-level settlement located within the Jaipur district of the Indian state of Rajasthan.
-
B.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
C.
Khalapur
Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
-
D.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
E.
Raisinghnagar
Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
- 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: Islam Nagar Triple: [SITE Town, hasNeighbourhood, Islam Nagar]
Generated description
Islam Nagar is a residential neighborhood located within the town of SITE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Islam Nagar Target entity description: Islam Nagar is a residential neighborhood located within the town of SITE.
-
A.
Mauzamabad
Mauzamabad is a village-level settlement located within the Jaipur district of the Indian state of Rajasthan.
-
B.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
-
C.
Khalapur
Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
-
D.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
E.
Raisinghnagar
Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a5589408190a0bc8f3731a8669f |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60c06e4c08190985114da9317e8fd |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c97a7e08190b782b3aa6d60d770 |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:43 p.m.