Triple
T16386553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra metropolitan area |
E397936
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lohamandi
Lohamandi is a locality within the city of Agra in Uttar Pradesh, India, known for its dense residential areas and bustling commercial activity.
|
E1209799
|
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: Lohamandi | Statement: [Agra metropolitan area, hasPart, Lohamandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lohamandi Context triple: [Agra metropolitan area, hasPart, Lohamandi]
-
A.
Lambhua
Lambhua is a town in the Sultanpur district of Uttar Pradesh, India, known as a local administrative and market center for surrounding rural areas.
-
B.
Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
-
C.
Lhazar
Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
-
D.
Loinang
Loinang is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
-
E.
Lohapol
Lohapol is one of the historic entrance gates of Mehrangarh Fort in Jodhpur, Rajasthan, known for its massive iron-studded doors and memorial handprints of royal widows.
- 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: Lohamandi Triple: [Agra metropolitan area, hasPart, Lohamandi]
Generated description
Lohamandi is a locality within the city of Agra in Uttar Pradesh, India, known for its dense residential areas and bustling commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lohamandi Target entity description: Lohamandi is a locality within the city of Agra in Uttar Pradesh, India, known for its dense residential areas and bustling commercial activity.
-
A.
Lambhua
Lambhua is a town in the Sultanpur district of Uttar Pradesh, India, known as a local administrative and market center for surrounding rural areas.
-
B.
Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
-
C.
Lhazar
Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
-
D.
Loinang
Loinang is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
-
E.
Lohapol
Lohapol is one of the historic entrance gates of Mehrangarh Fort in Jodhpur, Rajasthan, known for its massive iron-studded doors and memorial handprints of royal widows.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356ed47c819085aaf101459dd55c |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00368287d48190b510541eb7851942 |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003766d4ec8190ab98387781f85bd6 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.