Triple
T10169449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khorramabad |
E235291
|
entity |
| Predicate | hasHistoricalSite |
P1098
|
FINISHED |
| Object |
Gerdab-e Sangi
Gerdab-e Sangi is an ancient stone whirlpool structure and water-management monument in Khorramabad, Iran, dating back to the Sassanid era.
|
E845938
|
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: Gerdab-e Sangi | Statement: [Khorramabad, hasHistoricalSite, Gerdab-e Sangi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerdab-e Sangi Context triple: [Khorramabad, hasHistoricalSite, Gerdab-e Sangi]
-
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.
Zanjanrud
Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
-
C.
Zafaraniyeh
Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
-
D.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
E.
Gereshk
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
- 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: Gerdab-e Sangi Triple: [Khorramabad, hasHistoricalSite, Gerdab-e Sangi]
Generated description
Gerdab-e Sangi is an ancient stone whirlpool structure and water-management monument in Khorramabad, Iran, dating back to the Sassanid era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerdab-e Sangi Target entity description: Gerdab-e Sangi is an ancient stone whirlpool structure and water-management monument in Khorramabad, Iran, dating back to the Sassanid era.
-
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.
Zanjanrud
Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
-
C.
Zafaraniyeh
Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
-
D.
Taleqan
Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
-
E.
Gereshk
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d30255c7408190a56764f3d3f36ee2 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30343f4b081909eb80c772f6847bd |
completed | April 6, 2026, 12:50 a.m. |
Created at: March 30, 2026, 9:10 p.m.