Triple
T12118497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikar Junction |
E288627
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Loharu
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
|
E969064
|
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: Loharu | Statement: [Sikar Junction, connectsTo, Loharu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loharu Context triple: [Sikar Junction, connectsTo, Loharu]
-
A.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Basohli
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
-
E.
Barwaha
Barwaha is a town in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its role as a local commercial and agricultural center.
- 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: Loharu Triple: [Sikar Junction, connectsTo, Loharu]
Generated description
Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loharu Target entity description: Loharu is a town in the Bhiwani district of Haryana, India, known for its railway junction and historical Loharu Fort.
-
A.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
-
B.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
C.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
D.
Basohli
Basohli is a historic town in Jammu and Kashmir, India, renowned as the birthplace of the bold, vibrant Basohli school of Pahari miniature painting.
-
E.
Barwaha
Barwaha is a town in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its role as a local commercial and agricultural center.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd1668881908f43d895fcfba0aa |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:49 p.m.