Triple
T15095158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surat metropolitan region |
E360518
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Katargam
Katargam is a prominent residential and industrial suburb in the city of Surat, Gujarat, known especially for its diamond and textile industries.
|
E1137566
|
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: Katargam | Statement: [Surat metropolitan region, hasSuburb, Katargam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katargam Context triple: [Surat metropolitan region, hasSuburb, Katargam]
-
A.
Tarkarli
Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
-
B.
Thoseghar
Thoseghar is a small village in Maharashtra, India, known primarily as the access point to the scenic Thoseghar Waterfalls and surrounding hilly countryside.
-
C.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
D.
Faqra
Faqra is a Lebanese mountain resort area known for its ski slopes, natural rock formations, and nearby Roman archaeological ruins.
-
E.
Dargaz
Dargaz is a city in northeastern Iran known for its historical significance and location near the Turkmenistan 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: Katargam Triple: [Surat metropolitan region, hasSuburb, Katargam]
Generated description
Katargam is a prominent residential and industrial suburb in the city of Surat, Gujarat, known especially for its diamond and textile industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katargam Target entity description: Katargam is a prominent residential and industrial suburb in the city of Surat, Gujarat, known especially for its diamond and textile industries.
-
A.
Tarkarli
Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
-
B.
Thoseghar
Thoseghar is a small village in Maharashtra, India, known primarily as the access point to the scenic Thoseghar Waterfalls and surrounding hilly countryside.
-
C.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
D.
Faqra
Faqra is a Lebanese mountain resort area known for its ski slopes, natural rock formations, and nearby Roman archaeological ruins.
-
E.
Dargaz
Dargaz is a city in northeastern Iran known for its historical significance and location near the Turkmenistan 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae21134c81908939ad6ce46703d8 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feb37427a881908cf95f60b06251d4 |
completed | May 9, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb429517c8190a91cc6b50345d889 |
completed | May 9, 2026, 4:12 a.m. |
Created at: April 10, 2026, 3:04 a.m.