Triple
T10942016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sartrouville |
E258495
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Hostomel
Hostomel is a town near Kyiv in northern Ukraine, known for its strategic airport and its role in the early stages of the 2022 Russian invasion.
|
E895409
|
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: Hostomel | Statement: [Sartrouville, hasTwinTown, Hostomel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hostomel Context triple: [Sartrouville, hasTwinTown, Hostomel]
-
A.
Hoste
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
-
B.
Homel
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
-
C.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
-
D.
Unhos
Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
-
E.
Hama Tuma
Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
- 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: Hostomel Triple: [Sartrouville, hasTwinTown, Hostomel]
Generated description
Hostomel is a town near Kyiv in northern Ukraine, known for its strategic airport and its role in the early stages of the 2022 Russian invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hostomel Target entity description: Hostomel is a town near Kyiv in northern Ukraine, known for its strategic airport and its role in the early stages of the 2022 Russian invasion.
-
A.
Hoste
Hoste is a mathematician known for his contributions to knot theory, including work related to the HOMFLY-PT polynomial.
-
B.
Homel
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
-
C.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
-
D.
Unhos
Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
-
E.
Hama Tuma
Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c1ed4f081909ac5731dac325466 |
completed | April 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.