Triple
T22424539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siparia |
E554334
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
Fyzabad
Fyzabad is a town in southern Trinidad and Tobago known historically for its role in the country’s oil industry and labor movement.
|
E1536294
|
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: Fyzabad | Statement: [Siparia, roadConnection, Fyzabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fyzabad Context triple: [Siparia, roadConnection, Fyzabad]
-
A.
Firuzabad
Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
-
B.
Dawlat Abad
Dawlat Abad is a town and district center in northern Afghanistan, located within Faryab Province.
-
C.
Daryabad
Daryabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban setting and vibrant local community.
-
D.
Meherabad
Meherabad is a spiritual retreat and pilgrimage center in Maharashtra, India, best known as the ashram and tomb-shrine of Indian spiritual master Meher Baba.
-
E.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
- 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: Fyzabad Triple: [Siparia, roadConnection, Fyzabad]
Generated description
Fyzabad is a town in southern Trinidad and Tobago known historically for its role in the country’s oil industry and labor movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fyzabad Target entity description: Fyzabad is a town in southern Trinidad and Tobago known historically for its role in the country’s oil industry and labor movement.
-
A.
Firuzabad
Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
-
B.
Dawlat Abad
Dawlat Abad is a town and district center in northern Afghanistan, located within Faryab Province.
-
C.
Daryabad
Daryabad is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban setting and vibrant local community.
-
D.
Meherabad
Meherabad is a spiritual retreat and pilgrimage center in Maharashtra, India, best known as the ashram and tomb-shrine of Indian spiritual master Meher Baba.
-
E.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2c47bc81908b8265d83fa6fb65 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f06cec8190a911ab9a867c0596 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:47 p.m.