Triple
T15095162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surat metropolitan region |
E360518
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Pandesara
Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
|
E1137569
|
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: Pandesara | Statement: [Surat metropolitan region, hasSuburb, Pandesara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandesara Context triple: [Surat metropolitan region, hasSuburb, Pandesara]
-
A.
Palanas
Palanas is a coastal municipality located in the province of Masbate in the Bicol Region of the Philippines.
-
B.
Sarilamak
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
-
C.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
D.
Kusu
Kusu is a small town located in Japan’s Kyushu region, known for its rural landscapes and hot spring culture within Ōita Prefecture.
-
E.
Gurabeña
Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
- 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: Pandesara Triple: [Surat metropolitan region, hasSuburb, Pandesara]
Generated description
Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pandesara Target entity description: Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
-
A.
Palanas
Palanas is a coastal municipality located in the province of Masbate in the Bicol Region of the Philippines.
-
B.
Sarilamak
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
-
C.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
D.
Kusu
Kusu is a small town located in Japan’s Kyushu region, known for its rural landscapes and hot spring culture within Ōita Prefecture.
-
E.
Gurabeña
Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
- 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.