Triple
T3813223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohtak district |
E93184
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Maham
Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
|
E389862
|
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: Maham | Statement: [Rohtak district, hasCity, Maham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maham Context triple: [Rohtak district, hasCity, Maham]
-
A.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
B.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
-
C.
Mehr-un-Nissa
Mehr-un-Nissa, later known as Nur Jahan, was a powerful and influential Mughal empress renowned for her political acumen, cultural patronage, and significant impact on the reign of Emperor Jahangir.
-
D.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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: Maham Triple: [Rohtak district, hasCity, Maham]
Generated description
Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maham Target entity description: Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
-
A.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
B.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
-
C.
Mehr-un-Nissa
Mehr-un-Nissa, later known as Nur Jahan, was a powerful and influential Mughal empress renowned for her political acumen, cultural patronage, and significant impact on the reign of Emperor Jahangir.
-
D.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee8dd315481908bef595b56a4f0cb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3a69908190ba8e7ac37c8ca0f8 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fbf52fc88190a54ba5b374b2cdad |
completed | March 14, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fc6847e88190b6590aa2e56c8903 |
completed | March 14, 2026, 6:12 a.m. |
Created at: March 9, 2026, 3:16 p.m.