Triple
T9460458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaranj |
E228131
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object |
Delaram
Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
|
E800907
|
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: Delaram | Statement: [Zaranj, hasRoadConnectionTo, Delaram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delaram Context triple: [Zaranj, hasRoadConnectionTo, Delaram]
-
A.
Rudabeh
Rudabeh is a legendary Persian princess and queen in the Shahnameh, renowned for her beauty, wisdom, and as the mother of the hero Rostam.
-
B.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
C.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
- 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: Delaram Triple: [Zaranj, hasRoadConnectionTo, Delaram]
Generated description
Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delaram Target entity description: Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
-
A.
Rudabeh
Rudabeh is a legendary Persian princess and queen in the Shahnameh, renowned for her beauty, wisdom, and as the mother of the hero Rostam.
-
B.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
C.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
D.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
E.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1229ec9448190bac9b7a38e030833 |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d1245db2e48190a56a797a681316d9 |
completed | April 4, 2026, 2:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d124c2a48c819098a24dd2aac734e1 |
completed | April 4, 2026, 2:48 p.m. |
Created at: March 30, 2026, 7:52 p.m.